{"pageNumber":"423","pageRowStart":"10550","pageSize":"25","recordCount":46638,"records":[{"id":70169025,"text":"70169025 - 2016 - Mercury accumulation, and the mercury-PCB-sex interaction, in lake whitefish (<i>Coregonus clupeaformis</i>)","interactions":[],"lastModifiedDate":"2018-08-07T12:05:55","indexId":"70169025","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"title":"Mercury accumulation, and the mercury-PCB-sex interaction, in lake whitefish (<i>Coregonus clupeaformis</i>)","docAbstract":"<p>We determined whole-fish Hg concentrations of 26 female and 34 male adult lake whitefish (Coregonus clupeaformis) from northern Lake Huron captured during November 2010. Subsampling from these 60 fish, Hg concentration was also determined in both the somatic tissue and ovaries (n=5), while methylmercury (MeHg) concentration was determined in whole fish (n=18). Bioenergetics modeling was used to assess the growth dilution effect on the difference in Hg concentrations between the sexes. Mean whole-fish Hg concentration in females (59.9 ng/g) was not significantly different from mean whole-fish Hg concentration in males (54.4 ng/g). MeHg accounted for 91% of the mercury found in the lake whitefish. Bioenergetics modeling results indicated that the growth dilution effect did not contribute to a difference in Hg concentration between the sexes. We estimated that females increased in Hg concentration by 17.9%, on average, immediately after spawning due to release of eggs. Using PCB data for the same 60 lake whitefish from a previous study, we detected a significant interaction between sex and contaminant type (Hg or PCBs), which was attributable to males being significantly higher in PCB concentration than females. Males may be eliminating Hg at a faster rate than females.</p>","language":"English","publisher":"Molecular Diversity Preservation International","publisherLocation":"Basel, Switzerland","doi":"10.3390/environments3010007","usgsCitation":"Madenjian, C.P., Ebener, M.P., and Krabbenhoft, D.P., 2016, Mercury accumulation, and the mercury-PCB-sex interaction, in lake whitefish (<i>Coregonus clupeaformis</i>): Environments, v. 3, no. 7, 16 p., https://doi.org/10.3390/environments3010007.","productDescription":"16 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063712","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/environments3010007","text":"Publisher Index 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P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":622568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services 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,{"id":70187984,"text":"70187984 - 2016 - Reevaluation of the Crooked Ridge River- Early Pleistocene (ca. 2 Ma) age and origin of the White Mesa Alluvium, northeastern Arizona","interactions":[],"lastModifiedDate":"2017-05-26T11:01:08","indexId":"70187984","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of the Crooked Ridge River- Early Pleistocene (ca. 2 Ma) age and origin of the White Mesa Alluvium, northeastern Arizona","docAbstract":"<p><span>Essential features of the previously named and described Miocene Crooked Ridge River in northeastern Arizona (USA) are reexamined using new geologic and geochronologic data. Previously it was proposed that Cenozoic alluvium at Crooked Ridge and southern White Mesa was pre–early Miocene, the product of a large, vigorous late Paleogene river draining the 35–23 Ma San Juan Mountains volcanic field of southwestern Colorado. The paleoriver probably breeched the Kaibab uplift and was considered important in the early evolution of the Colorado River and Grand Canyon. In this paper, we reexamine the character and age of these Cenozoic deposits. The alluvial record originally used to propose the hypothetical paleoriver is best exposed on White Mesa, providing the informal name White Mesa alluvium. The alluvium is 20–50 m thick and is in the bedrock-bound White Mesa paleovalley system, which comprises 5 tributary paleochannels. Gravel composition, detrital zircon data, and paleochannel orientation indicate that sediment originated mainly from local Cretaceous bedrock north, northeast, and south of White Mesa. Sedimentologic and fossil evidence imply alluviation in a low-energy suspended sediment fluvial system with abundant fine-grained overbank deposits, indicating a local channel system rather than a vigorous braided river with distant headwaters. The alluvium contains exotic gravel clasts of Proterozoic basement and rare Oligocene volcanic clasts as well as Oligocene–Miocene detrital sanidine related to multiple caldera eruptions of the San Juan Mountains and elsewhere. These exotic clasts and sanidine likely came from ancient rivers draining the San Juan Mountains. However, in this paper we show that the White Mesa alluvium is early Pleistocene (ca. 2 Ma) rather than pre–early Miocene. Combined </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar dating of an interbedded tuff and detrital sanidine ages show that the basal White Mesa alluvium was deposited at 1.993 ± 0.002 Ma, consistent with a detrital sanidine maximum depositional age of 2.02 ± 0.02 Ma. Geomorphic relations show that the White Mesa alluvium is older than inset gravels that are interbedded with 1.2–0.8 Ma Bishop–Glass Mountain tuff. The new ca. 2 Ma age for the White Mesa alluvium refutes the hypothesis of a large regional Miocene(?) Crooked Ridge paleoriver that predated carving of the Grand Canyon. Instead, White Mesa paleodrainage was the northernmost extension of the ancestral Little Colorado River drainage basin. This finding is important for understanding Colorado River evolution because it provides a datum for quantifying rapid post–2 Ma regional denudation of the Grand Canyon region.</span></p>","language":"English","publisher":"Geological  Society of America","doi":"10.1130/GES01124.1","usgsCitation":"Hereford, R., Beard, S., Dickinson, W.R., Karlstrom, K.E., Heizler, M.T., Crossey, L.J., Amoroso, L., House, K., and Pecha, M., 2016, Reevaluation of the Crooked Ridge River- Early Pleistocene (ca. 2 Ma) age and origin of the White Mesa Alluvium, northeastern Arizona: Geosphere, v. 12, no. 3, p. 768-789, https://doi.org/10.1130/GES01124.1.","productDescription":"22 p.","startPage":"768","endPage":"789","ipdsId":"IP-059600","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470946,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01124.1","text":"Publisher Index Page"},{"id":341794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","volume":"12","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-07","publicationStatus":"PW","scienceBaseUri":"59293e97e4b016f7a940770c","contributors":{"authors":[{"text":"Hereford, Richard 0000-0002-0892-7367 rhereford@usgs.gov","orcid":"https://orcid.org/0000-0002-0892-7367","contributorId":3620,"corporation":false,"usgs":true,"family":"Hereford","given":"Richard","email":"rhereford@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":696149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":167711,"corporation":false,"usgs":true,"family":"Beard","given":"Sue","email":"sbeard@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":696150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, William R.","contributorId":75064,"corporation":false,"usgs":true,"family":"Dickinson","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":696151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karlstrom, Karl E.","contributorId":75597,"corporation":false,"usgs":true,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":696152,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heizler, Matthew T.","contributorId":184261,"corporation":false,"usgs":false,"family":"Heizler","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":696156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crossey, Laura J.","contributorId":56265,"corporation":false,"usgs":true,"family":"Crossey","given":"Laura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696153,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amoroso, Lee lamoroso@usgs.gov","contributorId":3069,"corporation":false,"usgs":true,"family":"Amoroso","given":"Lee","email":"lamoroso@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":696154,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":696155,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pecha, Mark","contributorId":192303,"corporation":false,"usgs":false,"family":"Pecha","given":"Mark","email":"","affiliations":[],"preferred":false,"id":696157,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70173861,"text":"70173861 - 2016 - Should fatty acid signature proportions sum to 1 for diet estimation?","interactions":[],"lastModifiedDate":"2016-06-24T11:48:21","indexId":"70173861","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1461,"text":"Ecological Research","active":true,"publicationSubtype":{"id":10}},"title":"Should fatty acid signature proportions sum to 1 for diet estimation?","docAbstract":"<p>Knowledge of predator diets, including how diets might change through time or differ among predators, provides essential insights into their ecology. Diet estimation therefore remains an active area of research within quantitative ecology. Quantitative fatty acid signature analysis (QFASA) is an increasingly common method of diet estimation. QFASA is based on a data library of prey signatures, which are vectors of proportions summarizing the fatty acid composition of lipids, and diet is estimated as the mixture of prey signatures that most closely approximates a predator&rsquo;s signature. Diets are typically estimated using proportions from a subset of all fatty acids that are known to be solely or largely influenced by diet. Given the subset of fatty acids selected, the current practice is to scale their proportions to sum to 1.0. However, scaling signature proportions has the potential to distort the structural relationships within a prey library and between predators and prey. To investigate that possibility, we compared the practice of scaling proportions with two alternatives and found that the traditional scaling can meaningfully bias diet estimators under some conditions. Two aspects of the prey types that contributed to a predator&rsquo;s diet influenced the magnitude of the bias: the degree to which the sums of unscaled proportions differed among prey types and the identifiability of prey types within the prey library. We caution investigators against the routine scaling of signature proportions in QFASA.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11284-016-1357-8","usgsCitation":"Bromaghin, J.F., Budge, S.M., and Thiemann, G.W., 2016, Should fatty acid signature proportions sum to 1 for diet estimation?: Ecological Research, v. 31, no. 4, p. 597-606, https://doi.org/10.1007/s11284-016-1357-8.","productDescription":"10 p.","startPage":"597","endPage":"606","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071161","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":324215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-29","publicationStatus":"PW","scienceBaseUri":"576bb6bce4b07657d1a22954","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":638834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":638835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":638836,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188788,"text":"70188788 - 2016 - Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes","interactions":[],"lastModifiedDate":"2017-06-23T15:37:06","indexId":"70188788","displayToPublicDate":"2016-06-01T00:00:00","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":"Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes","docAbstract":"<p><span>Stratigraphic, sedimentologic (including CT 3D X-ray tomography scans), foraminiferal, and radiocarbon analyses show that at least six of seven abrupt peat-to-mud contacts in cores from a tidal marsh at Talbot Creek (South Slough, Coos Bay), record sudden subsidence (relative sea-level rise) during great megathrust earthquakes at the Cascadia subduction zone. Data for one contact are insufficient to infer whether or not it records a great earthquake—it may also have formed through local, non-seismic, hydrographic processes. To estimate the amount of subsidence marked by each contact, we expanded a previous regional modern foraminiferal dataset to 174 samples from six Oregon estuaries. Using a transfer function derived from the new dataset, estimates of coseismic subsidence across the six earthquake contacts vary from 0.31&nbsp;m to 0.75&nbsp;m. Comparison of subsidence estimates for three contacts in adjacent cores shows within-site differences of ≤0.10&nbsp;m, about half the ±0.22&nbsp;m error, although some estimates may be minimums due to uncertain ecological preferences for </span><i>Balticammina pseudomacrescens</i><span> in brackish environments and almost monospecific assemblages of </span><i>Miliammina fusca</i><span> on tidal flats. We also account for the influence of taphonomic processes, such as infiltration of mud with mixed foraminiferal assemblages into peat, on subsidence estimates. Comparisons of our subsidence estimates with values for correlative contacts at other Oregon sites suggest that some of our estimates are minimums and that Cascadia's megathrust earthquake ruptures have been heterogeneous over the past 3500 years.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2016.04.017","usgsCitation":"Milker, Y., Nelson, A.R., Horton, B.P., Engelhart, S.E., Bradley, L., and Witter, R., 2016, Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes: Quaternary Science Reviews, v. 142, p. 143-163, https://doi.org/10.1016/j.quascirev.2016.04.017.","productDescription":"21 p.","startPage":"143","endPage":"163","ipdsId":"IP-074549","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://durham-repository.worktribe.com/output/1320593","text":"Publisher Index Page"},{"id":342829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"142","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"594e28b6e4b062508e3abe2c","contributors":{"authors":[{"text":"Milker, Yvonne","contributorId":193405,"corporation":false,"usgs":false,"family":"Milker","given":"Yvonne","email":"","affiliations":[],"preferred":false,"id":700368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":700369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false},{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":700370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":700371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Lee-Ann","contributorId":193406,"corporation":false,"usgs":false,"family":"Bradley","given":"Lee-Ann","affiliations":[],"preferred":false,"id":700372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":700373,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70170569,"text":"70170569 - 2016 - One thousand years of fires: Integrating proxy and model data","interactions":[],"lastModifiedDate":"2020-12-17T21:13:58.236532","indexId":"70170569","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5093,"text":"Frontiers of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"One thousand years of fires: Integrating proxy and model data","docAbstract":"<p>The current fires raging across Indonesia are emitting more carbon than the annual fossil fuel emissions of Germany or Japan, and the fires are still consuming vast tracts of rainforest and peatlands. The National Interagency Fire Center (www.nifc.gov) notes that 2015 is one worst fire years on record in the U.S., where more than 9 million acres burned -- equivalent to the combined size of Massachusetts and New Jersey. The U.S. and Indonesian fires have already displaced tens of thousands of people, and their impacts on ecosystems are still unclear. In the case of Indonesia, the burning peat is destroying much of the existing soil, with unknown implications for the type of vegetation regrowth. Such large fires result from a combination of fire management practices, increasing anthropogenic land use, and a changing climate.</p>\n<p>The expected increase in fire activity in the upcoming decades has led to a surge in research trying to understand their causes, the factors that may have influenced similar times of fire activity in the past, and the implications of such fire activity in the future. Multiple types of complementary data provide information on the impacts of current fires and the extent of past fires. The wide array of data encompasses different spatial and temporal resolutions (Figure 1) and includes fire proxy information such as charcoal and tree ring fire scars, observational records, satellite products, modern emissions data, fire models within global land cover and vegetation models, and sociodemographic data for modeling past human land use and ignition frequency. Any single data type is more powerful when combined with another source of information. Merging model and proxy data enables analyses of how fire activity modifies vegetation distribution, air and water quality, and proximity to cities; these analyses in turn support land management decisions relating to conservation and development.</p>","language":"English","publisher":"University of California","doi":"10.21425/F5FBG29606","usgsCitation":"Kehrwald, N.M., Aleman, J.C., Coughlan, M., Courtney Mustaphi, C.J., Githumbi, E.N., Magi, B.I., Marlon, J.R., and Power, M.J., 2016, One thousand years of fires: Integrating proxy and model data: Frontiers of Biogeography, v. 8, no. 1, e29606; 7 p., https://doi.org/10.21425/F5FBG29606.","productDescription":"e29606; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071529","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21425/f5fbg29606","text":"Publisher Index Page"},{"id":324105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-28","publicationStatus":"PW","scienceBaseUri":"576a6546e4b07657d1a11e4c","contributors":{"authors":[{"text":"Kehrwald, Natalie M. 0000-0002-9160-2239 nkehrwald@usgs.gov","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":168918,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","email":"nkehrwald@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":627693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleman, Julie C.","contributorId":168919,"corporation":false,"usgs":false,"family":"Aleman","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":25389,"text":"Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":627694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coughlan, Michael","contributorId":168920,"corporation":false,"usgs":false,"family":"Coughlan","given":"Michael","email":"","affiliations":[{"id":25390,"text":"Department of Anthropology, University of Georgia, Athens, Georgia, USA","active":true,"usgs":false}],"preferred":false,"id":627695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtney Mustaphi, Colin J.","contributorId":168921,"corporation":false,"usgs":false,"family":"Courtney Mustaphi","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":627696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Githumbi, Esther N.","contributorId":168922,"corporation":false,"usgs":false,"family":"Githumbi","given":"Esther","email":"","middleInitial":"N.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":627697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magi, Brian I.","contributorId":168923,"corporation":false,"usgs":false,"family":"Magi","given":"Brian","email":"","middleInitial":"I.","affiliations":[{"id":25392,"text":"Department of Geography and Earth Science, University of North Carolina at Charlotte, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":627698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marlon, Jennifer R.","contributorId":23432,"corporation":false,"usgs":true,"family":"Marlon","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":627699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Power, Mitchell J.","contributorId":79032,"corporation":false,"usgs":true,"family":"Power","given":"Mitchell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":627700,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187275,"text":"70187275 - 2016 - Deriving habitat models for northern long-eared bats from historical detection data: A case study using the Fernow Experimental Forest","interactions":[],"lastModifiedDate":"2017-04-28T10:58:17","indexId":"70187275","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Deriving habitat models for northern long-eared bats from historical detection data: A case study using the Fernow Experimental Forest","docAbstract":"<p><span>The listing of the northern long-eared bat (</span><i><i>Myotis septentrionalis</i></i><span>) as federally threatened under the Endangered Species Act following severe population declines from white-nose syndrome presents considerable challenges to natural resource managers. Because the northern long-eared bat is a forest habitat generalist, development of effective conservation measures will depend on appropriate understanding of its habitat relationships at individual locations. However, severely reduced population sizes make gathering data for such models difficult. As a result, historical data may be essential in development of habitat models. To date, there has been little evaluation of how effective historical bat presence data, such as data derived from mist-net captures, acoustic detection, and day-roost locations, may be in developing habitat models, nor is it clear how models created using different data sources may differ. We explored this issue by creating presence probability models for the northern long-eared bat on the Fernow Experimental Forest in the central Appalachian Mountains of West Virginia using a historical, presence-only data set. Each presence data type produced outputs that were dissimilar but that still corresponded with known traits of the northern long-eared bat or are easily explained in the context of the particular data collection protocol. However, our results also highlight potential limitations of individual data types. For example, models from mist-net capture data only showed high probability of presence along the dendritic network of riparian areas, an obvious artifact of sampling methodology. Development of ecological niche and presence models for northern long-eared bat populations could be highly valuable for resource managers going forward with this species. We caution, however, that efforts to create such models should consider the substantial limitations of models derived from historical data, and address model assumptions.</span></p>","language":"English","publisher":"Scientific Journals","doi":"10.3996/012015-JFWM-004","usgsCitation":"Ford, W.M., Silvis, A., Rodrigue, J.L., Kniowski, A.B., and Johnson, J.B., 2016, Deriving habitat models for northern long-eared bats from historical detection data: A case study using the Fernow Experimental Forest: Journal of Fish and Wildlife Management, v. 7, no. 1, p. 86-98, https://doi.org/10.3996/012015-JFWM-004.","productDescription":"13 p.","startPage":"86","endPage":"98","ipdsId":"IP-062420","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470949,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3996/012015-jfwm-004","text":"External Repository"},{"id":340601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Fernow Experimental Forest","volume":"7","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-01","publicationStatus":"PW","scienceBaseUri":"590454a4e4b022cee40dc23c","contributors":{"authors":[{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":693456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodrigue, Jane L.","contributorId":150352,"corporation":false,"usgs":false,"family":"Rodrigue","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":693458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Joshua B.","contributorId":171598,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":693459,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178038,"text":"70178038 - 2016 - Measuring the relationship between sportfishing trip expenditures and anglers’ species preferences","interactions":[],"lastModifiedDate":"2016-11-01T13:22:57","indexId":"70178038","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Measuring the relationship between sportfishing trip expenditures and anglers’ species preferences","docAbstract":"<p><span>We examined the relationship between fishing trip expenditures and anglers’ species preferences from a survey of Oklahoma resident anglers conducted in 2014. Understanding patterns in fishing trip expenditures is important because a significant share of state wildlife agency revenue comes from taxes on purchases of fishing equipment. Presently, there is little research that addresses the question of how spending levels vary within groups of sportspersons, including anglers. We used regression analysis to identify a relationship between trip spending and several preference variables, and included controls for other characteristics of fishing trips, such as location, party size, and duration. We received 780 surveys for a response rate of 26%, but only 506 were useable due to missing data or nonfishing responses. Average trip expenditures were approximately US$140, regardless of species preferences, but anglers who preferred to fish for trout and black bass tended to spend more than those who preferred to fish for catfish and panfish. These results were even more pronounced when location was considered, those who last fished at lakes spending more than those who fished at rivers or ponds. The results underscore the differences in spending among anglers with different preferred species and fishing locations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1167142","usgsCitation":"Long, J.M., and Melstrom, R.T., 2016, Measuring the relationship between sportfishing trip expenditures and anglers’ species preferences: North American Journal of Fisheries Management, v. 36, no. 4, p. 731-737, https://doi.org/10.1080/02755947.2016.1167142.","productDescription":"7 p.","startPage":"731","endPage":"737","ipdsId":"IP-069053","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"5819a9c4e4b0bb36a4c91027","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melstrom, Richard T.","contributorId":176513,"corporation":false,"usgs":false,"family":"Melstrom","given":"Richard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":652633,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168350,"text":"70168350 - 2016 - Palaeodata-informed modelling of large carbon losses from recent burning of boreal forests","interactions":[],"lastModifiedDate":"2016-06-29T16:41:36","indexId":"70168350","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Palaeodata-informed modelling of large carbon losses from recent burning of boreal forests","docAbstract":"<p><span>Wildfires play a key role in the boreal forest carbon cycle</span><sup><a id=\"ref-link-1\" title=\"Kasischke, E. S. in Distribution of Forest Ecosystems and the Role of Fire in the North American Boreal Region (eds Kasischke, E. S. &amp; Stocks, B. J.) 19-30 (Springer, 2000).\" href=\"http://www.nature.com/nclimate/journal/v6/n1/full/nclimate2832.html#ref1\">1</a>,&nbsp;<a id=\"ref-link-2\" title=\"Bond-Lamberty, B., Peckham, S. D., Ahl, D. E. &amp; Gower, S. T. Fire as the dominant driver of central Canadian boreal forest carbon balance. Nature 450, 89-92 (2007).\" href=\"http://www.nature.com/nclimate/journal/v6/n1/full/nclimate2832.html#ref2\">2</a></sup><span>, and models suggest that accelerated burning will increase boreal C emissions in the coming century</span><sup><a id=\"ref-link-3\" title=\"Balshi, M. S., McGuire, A. D. &amp; Duffy, P. A. Vulnerability of carbon storage in North American boreal forests to wildfires during the 21st century. Glob. Change Biol. 15, 1491-1510 (2009).\" href=\"http://www.nature.com/nclimate/journal/v6/n1/full/nclimate2832.html#ref3\">3</a></sup><span>. However, these predictions may be compromised because brief observational records provide limited constraints to model initial conditions</span><sup><a id=\"ref-link-4\" title=\"McGuire, A. D. et al. in Land Change Science (eds Gutman, G. et al.) 139-161 (Springer, 2004).\" href=\"http://www.nature.com/nclimate/journal/v6/n1/full/nclimate2832.html#ref4\">4</a></sup><span>. We confronted this limitation by using palaeoenvironmental data to drive simulations of long-term C dynamics in the Alaskan boreal forest. Results show that fire was the dominant control on C cycling over the past millennium, with changes in fire frequency accounting for 84% of C stock variability. A recent rise in fire frequency inferred from the palaeorecord</span><sup><a id=\"ref-link-5\" title=\"Kelly, R. et al. Recent burning of boreal forests exceeds fire regime limits of the past 10,000 years. Proc. Natl Acad. Sci. USA 110, 13055-13060 (2013).\" href=\"http://www.nature.com/nclimate/journal/v6/n1/full/nclimate2832.html#ref5\">5</a></sup><span>&nbsp;led to simulated C losses of 1.4</span><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span><span>kg</span><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span><span>C</span><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span><span>m</span><sup>&minus;2</sup><span>&nbsp;(12% of ecosystem C stocks) from 1950 to 2006. In stark contrast, a small net C sink of 0.3</span><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span><span>kg</span><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span><span>C</span><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span><span>m</span><sup>&minus;2</sup><span>&nbsp;occurred if the past fire regime was assumed to be similar to the modern regime, as is common in models of C dynamics. Although boreal fire regimes are heterogeneous, recent trends</span><sup><a id=\"ref-link-6\" title=\"Kasischke, E. S. &amp; Turetsky, M. R. Recent changes in the fire regime across the North American boreal region[mdash]Spatial and temporal patterns of burning across Canada and Alaska. Geophys. Res. Lett. 33, L09703 (2006).\" href=\"http://www.nature.com/nclimate/journal/v6/n1/full/nclimate2832.html#ref6\">6</a></sup><span>&nbsp;and future projections</span><sup><a id=\"ref-link-7\" title=\"Flannigan, M. D., stocks, B. J., Turetsky, M. R. &amp; Wotton, M. Impacts of climate change on fire activity and fire management in the circumboreal forest. Glob. Change Biol. 15, 549-560 (2009).\" href=\"http://www.nature.com/nclimate/journal/v6/n1/full/nclimate2832.html#ref7\">7</a></sup><span>&nbsp;point to increasing fire activity in response to climate warming throughout the biome. Thus, predictions</span><sup><a id=\"ref-link-8\" title=\"Qian, H., Joseph, R. &amp; Zeng, N. Enhanced terrestrial carbon uptake in the northern high latitudes in the 21st century from the coupled carbon cycle climate model intercomparison project model projections. Glob. Change Biol. 16, 641-656 (2010).\" href=\"http://www.nature.com/nclimate/journal/v6/n1/full/nclimate2832.html#ref8\">8</a></sup><span>&nbsp;that terrestrial C sinks of northern high latitudes will mitigate rising atmospheric CO</span><span>2</span><span>&nbsp;may be over-optimistic.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/nclimate2832","usgsCitation":"Kelly, R., Genet, H., McGuire, A.D., and Hu, F., 2016, Palaeodata-informed modelling of large carbon losses from recent burning of boreal forests: Nature Climate Change, v. 6, p. 79-82, https://doi.org/10.1038/nclimate2832.","productDescription":"4 p.","startPage":"79","endPage":"82","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054929","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-19","publicationStatus":"PW","scienceBaseUri":"5774e349e4b07dd077c5fcd1","contributors":{"authors":[{"text":"Kelly, Ryan","contributorId":172597,"corporation":false,"usgs":false,"family":"Kelly","given":"Ryan","affiliations":[],"preferred":false,"id":641376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Genet, Helene","contributorId":95370,"corporation":false,"usgs":true,"family":"Genet","given":"Helene","affiliations":[],"preferred":false,"id":641377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":619790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hu, Feng Sheng","contributorId":14280,"corporation":false,"usgs":true,"family":"Hu","given":"Feng Sheng","affiliations":[],"preferred":false,"id":641378,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169108,"text":"70169108 - 2016 - Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network","interactions":[],"lastModifiedDate":"2016-06-28T14:08:47","indexId":"70169108","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network","docAbstract":"<p>The National Ecological Observatory Network (NEON) intends to monitor mosquito populations across its broad geographical range of sites because of their prevalence in food webs, sensitivity to abiotic factors and relevance for human health. We describe the design of mosquito population sampling in the context of NEON&rsquo;s long term continental scale monitoring program, emphasizing the sampling design schedule, priorities and collection methods. Freely available NEON data and associated field and laboratory samples, will increase our understanding of how mosquito abundance, demography, diversity and phenology are responding to land use and climate change.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1320","usgsCitation":"Hoekman, D., Springer, Y.P., Barker, C., Barrera, R., Blackmore, M., Bradshaw, W., Foley, D.H., Ginsberg, H., Hayden, M.H., Holzapfel, C., Juliano, S., Kramer, L.D., LaDeau, S., Livdahl, T.P., Moore, C.G., Nasci, R., Reisen, W., and Savage, H.M., 2016, Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network: Ecosphere, v. 7, no. 5, e01320; 13 p., https://doi.org/10.1002/ecs2.1320.","productDescription":"e01320; 13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073978","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1320","text":"Publisher Index Page"},{"id":324521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-31","publicationStatus":"PW","scienceBaseUri":"57739faee4b07657d1a90cb8","contributors":{"authors":[{"text":"Hoekman, D.","contributorId":167627,"corporation":false,"usgs":false,"family":"Hoekman","given":"D.","email":"","affiliations":[{"id":24611,"text":"NEON","active":true,"usgs":false}],"preferred":false,"id":622962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Yuri P.","contributorId":148010,"corporation":false,"usgs":false,"family":"Springer","given":"Yuri","email":"","middleInitial":"P.","affiliations":[{"id":16880,"text":"National Ecological Observatory Network (NEON), 1685 38th St., Boulder, CO 80301, USA","active":true,"usgs":false}],"preferred":false,"id":622963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barker, C.M.","contributorId":167629,"corporation":false,"usgs":false,"family":"Barker","given":"C.M.","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":622964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrera, R.","contributorId":167630,"corporation":false,"usgs":false,"family":"Barrera","given":"R.","email":"","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":622965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blackmore, M.S.","contributorId":167631,"corporation":false,"usgs":false,"family":"Blackmore","given":"M.S.","email":"","affiliations":[{"id":16978,"text":"Valdosta State University","active":true,"usgs":false}],"preferred":false,"id":622966,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradshaw, W.E.","contributorId":167632,"corporation":false,"usgs":false,"family":"Bradshaw","given":"W.E.","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":622967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foley, D. H.","contributorId":167633,"corporation":false,"usgs":false,"family":"Foley","given":"D.","email":"","middleInitial":"H.","affiliations":[{"id":12519,"text":"Smithsonian Institution Research Assoicate","active":true,"usgs":false}],"preferred":false,"id":622968,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":622961,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hayden, M. H.","contributorId":167634,"corporation":false,"usgs":false,"family":"Hayden","given":"M.","email":"","middleInitial":"H.","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":622969,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holzapfel, C. M.","contributorId":167635,"corporation":false,"usgs":false,"family":"Holzapfel","given":"C. M.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":622970,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Juliano, S. A.","contributorId":167636,"corporation":false,"usgs":false,"family":"Juliano","given":"S. A.","affiliations":[{"id":18004,"text":"Illinois State University","active":true,"usgs":false}],"preferred":false,"id":622971,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kramer, L. D.","contributorId":167637,"corporation":false,"usgs":false,"family":"Kramer","given":"L.","email":"","middleInitial":"D.","affiliations":[{"id":24787,"text":"NY State Dept. Health","active":true,"usgs":false}],"preferred":false,"id":622972,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"LaDeau, S. L.","contributorId":167638,"corporation":false,"usgs":false,"family":"LaDeau","given":"S. L.","affiliations":[{"id":7188,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY, USA","active":true,"usgs":false}],"preferred":false,"id":622973,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Livdahl, T. P.","contributorId":167639,"corporation":false,"usgs":false,"family":"Livdahl","given":"T.","email":"","middleInitial":"P.","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":622974,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Moore, C. G.","contributorId":167640,"corporation":false,"usgs":false,"family":"Moore","given":"C.","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":622975,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nasci, R.S.","contributorId":167641,"corporation":false,"usgs":false,"family":"Nasci","given":"R.S.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":622976,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Reisen, W.K.","contributorId":29541,"corporation":false,"usgs":true,"family":"Reisen","given":"W.K.","email":"","affiliations":[],"preferred":false,"id":622977,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Savage, H. M.","contributorId":167643,"corporation":false,"usgs":false,"family":"Savage","given":"H.","email":"","middleInitial":"M.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":622978,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70168588,"text":"70168588 - 2016 - Enhancing drought resilience with conjunctive use and managed aquifer recharge in California and Arizona","interactions":[],"lastModifiedDate":"2018-09-13T13:55:04","indexId":"70168588","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing drought resilience with conjunctive use and managed aquifer recharge in California and Arizona","docAbstract":"<p>Projected longer‐term droughts and intense floods underscore the need to store more water to manage climate extremes. Here we show how depleted aquifers have been used to store water by substituting surface water use for groundwater pumpage (conjunctive use, CU) or recharging groundwater with surface water (Managed Aquifer Recharge, MAR). Unique multi‐decadal monitoring from thousands of wells and regional modeling datasets for the California Central Valley and central Arizona were used to assess CU and MAR. In addition to natural reservoir capacity related to deep water tables, historical groundwater depletion further expanded aquifer storage by ~44 km3 in the Central Valley and by ~100 km3 in Arizona, similar to or exceeding current surface reservoir capacity by up to three times. Local river water and imported surface water, transported through 100s of km of canals, is substituted for groundwater (&le;15 km3/yr, CU) or is used to recharge groundwater (MAR, &le;1.5 km3/yr) during wet years shifting to mostly groundwater pumpage during droughts. In the Central Valley, CU and MAR locally reversed historically declining water‐level trends, which contrasts with simulated net regional groundwater depletion. In Arizona, CU and MAR also reversed historically declining groundwater level trends in Active Management Areas. These rising trends contrast with current declining trends in irrigated areas that lack access to surface water to support CU or MAR. Use of depleted aquifers as reservoirs could expand with winter flood irrigation or capturing flood discharges to the Pacific (0 &ndash; 1.6 km3/yr, 2000&ndash;2014) with additional infrastructure in California. Because flexibility and expanded portfolio options translate to resilience, CU and MAR enhance drought resilience through multi‐year storage, complementing shorter term surface reservoir storage, and facilitating water markets.</p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/11/4/049501","usgsCitation":"Scanlon, B., Reedy, R., Faunt, C., Pool, D.R., and Uhlman, K., 2016, Enhancing drought resilience with conjunctive use and managed aquifer recharge in California and Arizona: Environmental Research Letters, v. 11, no. 3, Article 035013; 15 p., https://doi.org/10.1088/1748-9326/11/4/049501.","productDescription":"Article 035013; 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072928","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/4/049501","text":"Publisher Index Page"},{"id":324524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-08","publicationStatus":"PW","scienceBaseUri":"57739fafe4b07657d1a90cbe","contributors":{"authors":[{"text":"Scanlon, Bridget R.","contributorId":74093,"corporation":false,"usgs":true,"family":"Scanlon","given":"Bridget R.","affiliations":[],"preferred":false,"id":620985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reedy, Robert C.","contributorId":92956,"corporation":false,"usgs":true,"family":"Reedy","given":"Robert C.","affiliations":[],"preferred":false,"id":620986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pool, Donald R. drpool@usgs.gov","contributorId":1121,"corporation":false,"usgs":true,"family":"Pool","given":"Donald","email":"drpool@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Uhlman, Kristine;","contributorId":167093,"corporation":false,"usgs":false,"family":"Uhlman","given":"Kristine;","email":"","affiliations":[{"id":17599,"text":"Texas Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":620987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192617,"text":"70192617 - 2016 - Hierarchical species distribution models","interactions":[],"lastModifiedDate":"2017-11-10T11:14:28","indexId":"70192617","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5476,"text":"Current Landscape Ecology Reports","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical species distribution models","docAbstract":"<p><span>Determining the distribution pattern of a species is important to increase scientific knowledge, inform management decisions, and conserve biodiversity. To infer spatial and temporal patterns, species distribution models have been developed for use with many sampling designs and types of data. Recently, it has been shown that count, presence-absence, and presence-only data can be conceptualized as arising from a point process distribution. Therefore, it is important to understand properties of the point process distribution. We examine how the hierarchical species distribution modeling framework has been used to incorporate a wide array of regression and theory-based components while accounting for the data collection process and making use of auxiliary information. The hierarchical modeling framework allows us to demonstrate how several commonly used species distribution models can be derived from the point process distribution, highlight areas of potential overlap between different models, and suggest areas where further research is needed.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s40823-016-0008-7","usgsCitation":"Hefley, T.J., and Hooten, M., 2016, Hierarchical species distribution models: Current Landscape Ecology Reports, v. 1, no. 2, p. 87-97, https://doi.org/10.1007/s40823-016-0008-7.","productDescription":"11 p.","startPage":"87","endPage":"97","ipdsId":"IP-071733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40823-016-0008-7","text":"Publisher Index Page"},{"id":348570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-09","publicationStatus":"PW","scienceBaseUri":"5a06c8d3e4b09af898c8615c","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":721571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716563,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171463,"text":"70171463 - 2016 - The plant phenology monitoring design for the National Ecological Observatory Network","interactions":[],"lastModifiedDate":"2016-06-02T11:26:19","indexId":"70171463","displayToPublicDate":"2016-05-31T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The plant phenology monitoring design for the National Ecological Observatory Network","docAbstract":"<p>Phenology is an integrative science that comprises the study of recurring biological activities or events. In an era of rapidly changing climate, the relationship between the timing of those events and environmental cues such as temperature, snowmelt, water availability or day length are of particular interest. This article provides an overview of the plant phenology sampling which will be conducted by the U.S. National Ecological Observatory Network NEON, the resulting data, and the rationale behind the design. Trained technicians will conduct regular in situ observations of plant phenology at all terrestrial NEON sites for the 30-year life of the observatory. Standardized and coordinated data across the network of sites can be used to quantify the direction and magnitude of the relationships between phenology and environmental forcings, as well as the degree to which these relationships vary among sites, among species, among phenophases, and through time. Vegetation at NEON sites will also be monitored with tower-based cameras, satellite remote sensing and annual high-resolution airborne remote sensing. Ground-based measurements can be used to calibrate and improve satellite-derived phenometrics. NEON&rsquo;s phenology monitoring design is complementary to existing phenology research efforts and citizen science initiatives throughout the world and will produce interoperable data. By collocating plant phenology observations with a suite of additional meteorological, biophysical and ecological measurements (e.g., climate, carbon flux, plant productivity, population dynamics of consumers) at 47 terrestrial sites, the NEON design will enable continentalscale inference about the status, trends, causes and ecological consequences of phenological change.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1303","usgsCitation":"Elmendorf, S.C., Jones, K.D., Cook, B., Diez, J.M., Enquist, C.A., Hufft, R.A., Jones, M.O., Mazer, S., Miller-Rushing, A., Moore, D.J., Schwartz, M., and Weltzin, J., 2016, The plant phenology monitoring design for the National Ecological Observatory Network: Ecosphere, v. 7, no. 4, e01303: 16 p., https://doi.org/10.1002/ecs2.1303.","productDescription":"e01303: 16 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052777","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":470954,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1303","text":"Publisher Index Page"},{"id":321942,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-25","publicationStatus":"PW","scienceBaseUri":"574ea79ae4b0ee97d51a2be0","contributors":{"authors":[{"text":"Elmendorf, Sarah C","contributorId":169801,"corporation":false,"usgs":false,"family":"Elmendorf","given":"Sarah","email":"","middleInitial":"C","affiliations":[{"id":25598,"text":"NEON, Staff Scientist","active":true,"usgs":false}],"preferred":false,"id":631087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Katherine D.","contributorId":169802,"corporation":false,"usgs":false,"family":"Jones","given":"Katherine","email":"","middleInitial":"D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Benjamin I.","contributorId":81237,"corporation":false,"usgs":true,"family":"Cook","given":"Benjamin I.","affiliations":[],"preferred":false,"id":631089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diez, Jeffrey M.","contributorId":169803,"corporation":false,"usgs":false,"family":"Diez","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enquist, Carolyn A.F.","contributorId":169804,"corporation":false,"usgs":false,"family":"Enquist","given":"Carolyn","email":"","middleInitial":"A.F.","affiliations":[{"id":25599,"text":"USA-NPN","active":true,"usgs":false}],"preferred":false,"id":631091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hufft, Rebecca A.","contributorId":148014,"corporation":false,"usgs":false,"family":"Hufft","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":16973,"text":"Neptune and Company Inc.","active":true,"usgs":false}],"preferred":false,"id":631107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Matthew O.","contributorId":169805,"corporation":false,"usgs":false,"family":"Jones","given":"Matthew","email":"","middleInitial":"O.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631092,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mazer, Susan J.","contributorId":96564,"corporation":false,"usgs":true,"family":"Mazer","given":"Susan J.","affiliations":[],"preferred":false,"id":631094,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller-Rushing, Abraham J.","contributorId":103561,"corporation":false,"usgs":true,"family":"Miller-Rushing","given":"Abraham J.","affiliations":[],"preferred":false,"id":631095,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moore, David J. P.","contributorId":169810,"corporation":false,"usgs":false,"family":"Moore","given":"David","email":"","middleInitial":"J. P.","affiliations":[],"preferred":false,"id":631096,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schwartz, Mark D.","contributorId":11092,"corporation":false,"usgs":true,"family":"Schwartz","given":"Mark D.","affiliations":[],"preferred":false,"id":631097,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weltzin, Jake F. 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":149648,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":631086,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70173895,"text":"70173895 - 2016 - Somatic growth dynamics of West Atlantic hawksbill sea turtles: a spatio-temporal perspective","interactions":[],"lastModifiedDate":"2016-10-24T09:10:47","indexId":"70173895","displayToPublicDate":"2016-05-31T00:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Somatic growth dynamics of West Atlantic hawksbill sea turtles: a spatio-temporal perspective","docAbstract":"<p>Somatic growth dynamics are an integrated response to environmental conditions. Hawksbill sea turtles (Eretmochelys imbricata) are long-lived, major consumers in coral reef habitats that move over broad geographic areas (hundreds to thousands of kilometers). We evaluated spatio-temporal effects on hawksbill growth dynamics over a 33-yr period and 24 study sites throughout the West Atlantic and explored relationships between growth dynamics and climate indices. We compiled the largest ever data set on somatic growth rates for hawksbills &ndash; 3541 growth increments from 1980 to 2013. Using generalized additive mixed model analyses, we evaluated 10 covariates, including spatial and temporal variation, that could affect growth rates. Growth rates throughout the region responded similarly over space and time. The lack of a spatial effect or spatio-temporal interaction and the very strong temporal effect reveal that growth rates in West Atlantic hawksbills are likely driven by region-wide forces. Between 1997 and 2013, mean growth rates declined significantly and steadily by 18%. Regional climate indices have significant relationships with annual growth rates with 0- or 1-yr lags: positive with the Multivariate El Ni&ntilde;o Southern Oscillation Index (correlation = 0.99) and negative with Caribbean sea surface temperature (correlation = &minus;0.85). Declines in growth rates between 1997 and 2013 throughout the West Atlantic most likely resulted from warming waters through indirect negative effects on foraging resources of hawksbills. These climatic influences are complex. With increasing temperatures, trajectories of decline of coral cover and availability in reef habitats of major prey species of hawksbills are not parallel. Knowledge of how choice of foraging habitats, prey selection, and prey abundance are affected by warming water temperatures is needed to understand how climate change will affect productivity of consumers that live in association with coral reefs. Main conclusions The decadal declines in growth rates between 1997 and 2013 throughout the West Atlantic most likely resulted from warming waters through indirect negative effects on the foraging resources of hawksbills. These climatic influences are complex. With increasing temperatures, the trajectories of decline of coral cover and availability in reef habitats of major prey species of hawksbills are not parallel. Knowledge of how choice of foraging habitats, prey selection, and prey abundance are affected by warming water temperatures is needed to understand how climate change will affect productivity of consumers that live in association with coral reefs.</p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, New Jersey","doi":"10.1002/ecs2.1279","usgsCitation":"Bjorndal, K.A., Chaloupka, M., Saba, V.S., Diez, C.E., van Dam, R.P., Krueger, B.H., Horrocks, J.A., Santos, A.J., Bellini, C., Marcovaldi, M.A., Nava, M., Willis, S., Godley, B.J., Gore, S., Hawkes, L.A., McGowan, A., Witt, M.J., Stringell, T.B., Sanghera, A., Richardson, P.B., Broderick, A.C., Phillips, Q., Calosso, M.C., Claydon, J.A., Blumenthal, J., Moncada, F., Nodarse, G., Medina, Y., Dunbar, S.G., Wood, L.D., Lagueux, C.J., Campbell, C.L., Meylan, A.B., Meylan, P.A., Burns Perez, V.R., Coleman, R.A., Strindberg, S., Guzman-H, V., Hart, K.M., Cherkiss, M.S., Hillis-Starr, Z., Lundgren, I., Boulon, R., Connett, S., Outerbridge, M.E., and Bolten, A.B., 2016, Somatic growth dynamics of West Atlantic hawksbill sea turtles: a spatio-temporal perspective: Ecosphere, v. 7, no. 5, https://doi.org/10.1002/ecs2.1279.","startPage":"e01279","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067707","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1279","text":"Publisher Index Page"},{"id":324239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-25","publicationStatus":"PW","scienceBaseUri":"576bb6bce4b07657d1a22957","contributors":{"authors":[{"text":"Bjorndal, Karen 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,{"id":70170302,"text":"sir20165054 - 2016 - Monitoring plant tissue nitrogen isotopes to assess nearshore inputs of nitrogen to Lake Crescent, Olympic National Park, Washington","interactions":[],"lastModifiedDate":"2016-06-01T08:21:11","indexId":"sir20165054","displayToPublicDate":"2016-05-31T00:00:00","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":"2016-5054","title":"Monitoring plant tissue nitrogen isotopes to assess nearshore inputs of nitrogen to Lake Crescent, Olympic National Park, Washington","docAbstract":"<p class=\"p1\">Mats of filamentous-periphytic algae present in some nearshore areas of Lake Crescent, Olympic National Park, Washington, may indicate early stages of eutrophication from nutrient enrichment of an otherwise highly oligotrophic lake. Natural abundance ratios of stable isotopes of nitrogen (δ<sup>15</sup>N) measured in plant tissue growing in nearshore areas of the lake indicate that the major source of nitrogen used by these primary producing plants is derived mainly from atmospherically fixed nitrogen in an undeveloped forested ecosystem. Exceptions to this pattern occurred in the Barnes Point area where elevated δ<sup>15</sup>N ratios indicate that effluent from septic systems also contribute nitrogen to filamentous-periphytic algae growing in the littoral zone of that area. Near the Lyre River outlet of Lake Crescent, the δ<sup>15</sup>N of filamentous-periphytic algae growing in close proximity to the spawning areas of a unique species of trout show little evidence of elevated δ<sup>15</sup>N indicating that nitrogen from on-site septic systems is not a substantial source of nitrogen for these plants. The δ<sup>15</sup>N data corroborate estimates that nitrogen input to Lake Crescent from septic sources is comparatively small relative to input from motor vehicle exhaust and vegetative sources in undeveloped forests, including litterfall, pollen, and symbiotic nitrogen fixation. The seasonal timing of blooms of filamentous-periphytic algal near the lake shoreline is also consistent with nitrogen exported from stands of red alder trees (<i>Alnus rubra</i>). Isotope biomonitoring of filamentous-periphytic algae may be an effective approach to monitoring the littoral zone for nutrient input to Lake Crescent from septic sources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165054","collaboration":"Prepared in cooperation with the National Park Service, Olympic National Park","usgsCitation":"Cox, S.E., Moran, P.W., Huffman, R.L., and Fradkin, S.C., 2016, Monitoring plant tissue nitrogen isotopes to assess nearshore inputs of nitrogen to Lake Crescent, Olympic National Park, Washington: U.S. Geological Survey Scientific Investigations Report 2016–5054, 20 p., https://dx.doi.org/10.3133/sir20165054.","productDescription":"iv, 20p.","startPage":"1","endPage":"20","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063700","costCenters":[{"id":622,"text":"Washington Water Science 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PSC"},"publishedDate":"2016-05-31","noUsgsAuthors":false,"publicationDate":"2016-05-31","publicationStatus":"PW","scienceBaseUri":"574ea799e4b0ee97d51a2bda","contributors":{"authors":[{"text":"Cox, Stephen E. 0000-0001-6614-8225 secox@usgs.gov","orcid":"https://orcid.org/0000-0001-6614-8225","contributorId":1642,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen","email":"secox@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science 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,{"id":70171451,"text":"70171451 - 2016 - The National Wind Erosion Research Network: Building a standardized long-term data resource for aeolian research, modeling and land management","interactions":[],"lastModifiedDate":"2016-06-01T15:45:39","indexId":"70171451","displayToPublicDate":"2016-05-30T01:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The National Wind Erosion Research Network: Building a standardized long-term data resource for aeolian research, modeling and land management","docAbstract":"<p><span>The National Wind Erosion Research Network was established in 2014 as a collaborative effort led by the United States Department of Agriculture&rsquo;s Agricultural Research Service and Natural Resources Conservation Service, and the United States Department of the Interior&rsquo;s Bureau of Land Management, to address the need for a long-term research program to meet critical challenges in wind erosion research and management in the United States. The Network has three aims: (1) provide data to support understanding of basic aeolian processes across land use types, land cover types, and management practices, (2) support development and application of models to assess wind erosion and dust emission and their impacts on human and environmental systems, and (3) encourage collaboration among the aeolian research community and resource managers for the transfer of wind erosion technologies. The Network currently consists of thirteen intensively instrumented sites providing measurements of aeolian sediment transport rates, meteorological conditions, and soil and vegetation properties that influence wind erosion. Network sites are located across rangelands, croplands, and deserts of the western US. In support of Network activities,&nbsp;</span><span id=\"ir010\" class=\"interref\" data-locatortype=\"url\" data-locatorkey=\"http://winderosionnetwork.org\"><a class=\"cExLink\" href=\"http://winderosionnetwork.org/\" target=\"externObjLink\" data-url=\"/science/RedirectURL?_method=externObjLink&amp;_locator=url&amp;_cdi=278542&amp;_issn=18759637&amp;_origin=article&amp;_zone=art_page&amp;_targetURL=http%253A%252F%252Fwinderosionnetwork.org\" data-itrprs=\"Y\">http://winderosionnetwork.org</a></span><span>&nbsp;was developed as a portal for information about the Network, providing site descriptions, measurement protocols, and data visualization tools to facilitate collaboration with scientists and managers interested in the Network and accessing Network products. The Network provides a mechanism for engaging national and international partners in a wind erosion research program that addresses the need for improved understanding and prediction of aeolian processes across complex and diverse land use types and management practices.</span></p>","language":"English","publisher":"Elsevier Science","doi":"10.1016/j.aeolia.2016.05.005","usgsCitation":"Webb, N., Herrick, J.E., Van Zee, J., Courtright, E., Hugenholtz, T.M., Zobeck, T.M., Okin, G.S., Barchyn, T.E., Billings, B., Boyd, R., Clingan, S.D., Cooper, B.F., Duniway, M.C., Derner, J.D., Fox, F.A., Havstad, K.M., Heilman, P., LaPlante, V., Ludwig, N.A., Metz, L.J., Nearing, M.A., Norfleet, M.L., Pierson, F., Sanderson, M.A., Sharrat, B.S., Steiner, J., Tatarko, J., Tedela, N., Todelo, D., Unnasch, R.S., Van Pelt, R., and Wagner, L., 2016, The National Wind Erosion Research Network: Building a standardized long-term data resource for aeolian research, modeling and land management: Aeolian 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,{"id":70171171,"text":"ofr20161087 - 2016 - Mortality monitoring design for utility-scale solar power facilities","interactions":[],"lastModifiedDate":"2017-11-22T15:52:36","indexId":"ofr20161087","displayToPublicDate":"2016-05-27T13:00:00","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":"2016-1087","title":"Mortality monitoring design for utility-scale solar power facilities","docAbstract":"<h1>Introduction</h1><p>Solar power represents an important and rapidly expanding component of the renewable energy portfolio of the United States (Lovich and Ennen, 2011; Hernandez and others, 2014). Understanding the impacts of renewable energy development on wildlife is a priority for the U.S. Fish and Wildlife Service (FWS) in compliance with Department of Interior Order No. 3285 (U.S. Department of the Interior, 2009) to “develop best management practices for renewable energy and transmission projects on the public lands to ensure the most environmentally responsible development and delivery of renewable energy.” Recent studies examining effects of renewable energy development on mortality of migratory birds have primarily focused on wind energy (California Energy Commission and California Department of Fish and Game, 2007), and in 2012 the FWS published guidance for addressing wildlife conservation concerns at all stages of land-based wind energy development (U.S. Fish and Wildlife Service, 2012). As yet, no similar guidelines exist for solar development, and no published studies have directly addressed the methodology needed to accurately estimate mortality of birds and bats at solar facilities. In the absence of such guidelines, ad hoc methodologies applied to solar energy projects may lead to estimates of wildlife mortality rates that are insufficiently accurate and precise to meaningfully inform conversations regarding unintended consequences of this energy source and management decisions to mitigate impacts. Although significant advances in monitoring protocols for wind facilities have been made in recent years, there remains a need to provide consistent guidance and study design to quantify mortality of bats, and resident and migrating birds at solar power facilities (Walston and others, 2015).</p><p>In this document, we suggest methods for mortality monitoring at solar facilities that are based on current methods used at wind power facilities but adapted for the unique conditions encountered at solar facilities. In particular, unlike at wind-power facilities, the unimpeded access to almost all areas within the facilities, the typically flat terrain, and general absence of thick vegetation allow distance-sampling techniques (Buckland and others, 2001, 2004) to be exploited to advantage at industrial solar sites. These protocols build on the work of Nicolai and others (2011), and as our understanding and techniques for monitoring improve, the methods may be further modified to incorporate improvements in the future. We present case studies based on monitoring methods currently implemented at different utility-scale solar facilities to illustrate how distance-sampling techniques may improve overall detectability without substantially increasing costs. Every facility is unique, and the protocols presented may be adapted based on specific monitoring objectives and conditions at each site.</p><p>We provide guidance for designing monitoring programs whose objective it is to estimate the total number of bird and bat fatalities occurring at a facility over an extended period of time. We address spatial variation in causes of mortality, as well as potential sources of imperfect detection, for example, animals falling in or moving to unsearched areas, carcasses removed by predators, and carcasses missed by searchers. We suggest methods to estimate and account for each source of imperfect detection. This document focuses on monitoring design only and does not discuss approaches for estimating mortality from collected data. The development of statistically sound estimators relevant to the solar context is a current topic of research, although there are already strong foundations for estimation with distance-sampling methods in similar open, arid environments (Anderson and others, 2001; Freilich and others, 2005). Nonetheless, if protocols described in this document are followed, the resulting data will be adequate and sufficient for estimating mortality using newly formulated estimators.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161087","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Huso, Manuela, Dietsch, Thomas, and Nicolai, Chris, 2016, Mortality monitoring design for utility-scale solar power facilities: U.S. Geological Survey Open-File Report 2016-1087, 44 p., https://dx.doi.org/10.3133/ofr20161087.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073911","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":321633,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1087/ofr20161087.pdf","text":"Report","size":"2.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1087 Report PDF"},{"id":321632,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1087/coverthb.jpg"}],"contact":"<p>Director, Forest and Rangeland Ecosystem Science Center<br />U.S. Geological Survey<br />777 NW 9th St., Suite 400<br />Corvallis, Oregon 97330<br /><a href=\"http://fresc.usgs.gov/\">http://fresc.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Background</li><li>Goal and Objectives</li><li>Sources of Mortality</li><li>Components of Monitoring</li><li>Recommended Methods</li><li>Summary</li><li>Acknowledgments&nbsp;</li><li>References Cited</li><li>Appendix A. General Concept of Distance Sampling</li><li>Appendix B. Case Studies</li><li>Appendix C. Example Data</li><li>Appendix D. Summary Methods</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-05-27","noUsgsAuthors":false,"publicationDate":"2016-05-27","publicationStatus":"PW","scienceBaseUri":"5749619de4b07e28b6650fa2","contributors":{"authors":[{"text":"Huso, Manuela M. 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":150012,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":630157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietsch, Thomas","contributorId":169587,"corporation":false,"usgs":false,"family":"Dietsch","given":"Thomas","affiliations":[{"id":25561,"text":"US FWS Region 8","active":true,"usgs":false}],"preferred":false,"id":630158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicolai, Chris","contributorId":169592,"corporation":false,"usgs":true,"family":"Nicolai","given":"Chris","affiliations":[],"preferred":false,"id":630159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171267,"text":"70171267 - 2016 - Integrating local pastoral knowledge, participatory mapping, and species distribution modeling for risk assessment of invasive rubber vine (<i>Cryptostegia grandiflora</i>) in Ethiopia’s Afar region","interactions":[],"lastModifiedDate":"2016-06-01T16:49:25","indexId":"70171267","displayToPublicDate":"2016-05-27T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Integrating local pastoral knowledge, participatory mapping, and species distribution modeling for risk assessment of invasive rubber vine (<i>Cryptostegia grandiflora</i>) in Ethiopia’s Afar region","docAbstract":"<p><span>The threats posed by invasive plants span ecosystems and economies worldwide. Local knowledge of biological invasions has proven beneficial for invasive species research, but to date no work has integrated this knowledge with species distribution modeling for invasion risk assessments. In this study, we integrated pastoral knowledge with Maxent modeling to assess the suitable habitat and potential impacts of invasive&nbsp;</span><i>Cryptostegia grandiflora</i><span>&nbsp;Robx. Ex R.Br. (rubber vine) in Ethiopia&rsquo;s Afar region. We conducted focus groups with seven villages across the Amibara and Awash-Fentale districts. Pastoral knowledge revealed the growing threat of rubber vine, which to date has received limited attention in Ethiopia, and whose presence in Afar was previously unknown to our team. Rubber vine occurrence points were collected in the field with pastoralists and processed in Maxent with MODIS-derived vegetation indices, topographic data, and anthropogenic variables. We tested model fit using a jackknife procedure and validated the final model with an independent occurrence data set collected through participatory mapping activities with pastoralists. A Multivariate Environmental Similarity Surface analysis revealed areas with novel environmental conditions for future targeted surveys. Model performance was evaluated using area under the receiver-operating characteristic curve (AUC) and showed good fit across the jackknife models (average AUC = 0.80) and the final model (test AUC = 0.96). Our results reveal the growing threat rubber vine poses to Afar, with suitable habitat extending downstream of its current known location in the middle Awash River basin. Local pastoral knowledge provided important context for its rapid expansion due to acute changes in seasonality and habitat alteration, in addition to threats posed to numerous endemic tree species that provide critical provisioning ecosystem services. This work demonstrates the utility of integrating local ecological knowledge with species distribution modeling for early detection and targeted surveying of recently established invasive species.</span></p>","language":"English","publisher":"Resilience Alliance Publications","doi":"10.5751/ES-07988-210122","usgsCitation":"Luizza, M., Wakie, T., Evangelista, P., and Jarnevich, C.S., 2016, Integrating local pastoral knowledge, participatory mapping, and species distribution modeling for risk assessment of invasive rubber vine (<i>Cryptostegia grandiflora</i>) in Ethiopia’s Afar region: Ecology and Society, v. 21, no. 1, Art. 22; 22 p,, https://doi.org/10.5751/ES-07988-210122.","productDescription":"Art. 22; 22 p,","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062006","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470963,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-07988-210122","text":"Publisher Index Page"},{"id":321817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ethiopia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              39.781494140625,\n              8.86336203355168\n            ],\n            [\n              39.781494140625,\n              10.055402736564224\n            ],\n            [\n              40.9185791015625,\n              10.055402736564224\n            ],\n            [\n              40.9185791015625,\n              8.86336203355168\n            ],\n            [\n              39.781494140625,\n              8.86336203355168\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5749619ce4b07e28b6650f9a","contributors":{"authors":[{"text":"Luizza, Matthew","contributorId":169629,"corporation":false,"usgs":false,"family":"Luizza","given":"Matthew","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":630371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wakie, Tewodros","contributorId":138730,"corporation":false,"usgs":false,"family":"Wakie","given":"Tewodros","email":"","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":630372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evangelista, Paul","contributorId":46371,"corporation":false,"usgs":true,"family":"Evangelista","given":"Paul","affiliations":[],"preferred":false,"id":630373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":630370,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70144079,"text":"ds929 - 2016 - Total cylindrospermopsins, microcystins/nodularins, and saxitoxins data for the 2007 United States Environmental Protection Agency National Lake Assessment","interactions":[],"lastModifiedDate":"2016-06-01T16:51:55","indexId":"ds929","displayToPublicDate":"2016-05-26T00:00:00","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":"929","title":"Total cylindrospermopsins, microcystins/nodularins, and saxitoxins data for the 2007 United States Environmental Protection Agency National Lake Assessment","docAbstract":"<p>Phytoplankton communities in freshwater lakes, ponds, and reservoirs may be dominated by cyanobacteria (also called blue-green algae) under certain environmental conditions. Cyanobacteria may cause a range of water-quality impairments, including the potential for toxin production. Cyanobacteria toxins (cyanotoxins) may adversely impact human and ecological health. Microcystins are considered to be one of the most commonly found classes of cyanotoxins in freshwater ecosystems, and as such were selected as a recreational indicator of water quality for the 2007 United States Environmental Protection Agency (EPA) National Lakes Assessment. However, much less is known about the occurrence of other classes of cyanotoxins in fresh surface water such as anatoxins, cylindrospermopsins, nodularins, and saxitoxins.</p>\n<p>The 2007 National Lakes Assessment followed a probabilistic study design and was directed by the EPA, in partnership with States, Tribes, and other federal agencies of the United States, to provide an assessment of water quality in the Nation&rsquo;s lakes, ponds, and reservoirs based on trophic status, and ecological and recreational indicators. Integrated photic zone samples were collected by the EPA, U.S. Geological Survey (USGS), States, and Tribes in target water bodies, generally at their deepest point, and analyzed for microcystins by the U.S. Geological Survey. The USGS assisted with this survey by providing technical expertise and enzyme linked immunosorbent assay (ELISA) analysis of microcystins for all survey samples as an indicator for recreational water quality. A small subset of samples (<i>n</i>=27) was analyzed by liquid chromatography tandem mass spectrometry (LC/MS/MS) by the USGS. Additionally, through partnership with the EPA National Health and Environmental Effects Research Laboratory (NHEERL), USGS analyzed all frozen samples by ELISA for two other classes of cyanotoxins, cylindrospermopsins and saxitoxins. Total cylindrospermopsins, microcystins, and saxitoxins were measured by enzyme-linked immunosorbent assay in a total of 1,331 samples from 1,161 lakes.</p>\n<p>Samples from this study had detection frequencies of 4.0, 32 (unweighted), and 7.6 percent, mean concentrations (detections only) of 0.56, 3.0, and 0.061 micrograms/L (&mu;g/L), and maximum concentrations of 4.4, 230, and 0.38 &mu;g/L for cylindrospermopsins, microcystins, and saxitoxins by ELISA, respectively in visit 1 and visit 2 samples. Microcystin ELISA results were categorized based on World Health Organization recreational surface-water guidelines for the relative probability of adverse health impacts because of microcystin exposure. The dataset described in this report is the first ever national reconnaissance of cyanotoxins in the United States.</p>\n<p>At least one microcystin congener was detected by LC/MS/MS in 52 percent of the 27 samples analyzed at a concentration greater than the LC/MS/MS minimum reporting level (MRL) of 0.010 &mu;g/L and included detections for microcystin-LA, microcystin-LR, microcystin-LY, microcystin-RR, and microcystin-YR. Anatoxin-a, cylindrospermopsin, and nodularin-R were detected in 15 percent, 7 percent, and 4 percent of samples, respectively, at concentrations above 0.010 &mu;g/L. Deoxycylindrospermopsin, domoic acid, lyngbyatoxin-a, microcystin-LF, microcystin-LW, and okadaic acid were not detected in the LC/MS/MS subset.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds929","collaboration":"Prepared in cooperation with the United States Environmental Protection Agency, States, and Tribes","usgsCitation":"Loftin, K.A., Dietze, J.E, Meyer, M.T., Graham, J.L, Maksimowicz, M.M., and Toyne, K.D., 2016, Total cylindrospermopsins, microcystins/nodularins, and saxitoxins data for the 2007 United States Environmental Protection Agency National Lake Assessment: U.S. Geological Survey Data Series 929, 9 p., https://dx.doi.org/10.3133/ds929.","productDescription":"Report: vi, 7 p.; Appendixes 1-10","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053397","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":318372,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0929/coverthb.jpg"},{"id":318374,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0929/ds929_appendixes.xls","text":"Appendixes 1–10","size":"1.03 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 929 Appendix"},{"id":318373,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0929/ds929.pdf","text":"Report","size":"794 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 929"}],"contact":"<p>Director, Kansas Water Science Center<br>U.S. Geological Survey<br>4821 Quail Crest Place<br>Lawrence, KS 66049</p><p><br><a href=\"http://ks.water.usgs.gov\" data-mce-href=\"http://ks.water.usgs.gov\">http://ks.water.usgs.gov</a><br></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Sample Processing and Analysis of Surface-Water Samples</li>\n<li>Summary of Results</li>\n<li>References Cited</li>\n<li>Appendixes 1&ndash;10</li>\n</ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-05-26","noUsgsAuthors":false,"publicationDate":"2016-05-26","publicationStatus":"PW","scienceBaseUri":"5748101be4b07e28b664c5fe","contributors":{"authors":[{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":543284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietze, Julie E. 0000-0002-5936-5739 juliec@usgs.gov","orcid":"https://orcid.org/0000-0002-5936-5739","contributorId":3939,"corporation":false,"usgs":true,"family":"Dietze","given":"Julie","email":"juliec@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":543285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":543286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Jennifer L. jlgraham@usgs.gov","contributorId":140520,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":621325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maksimowicz, Megan M.","contributorId":146481,"corporation":false,"usgs":false,"family":"Maksimowicz","given":"Megan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":621326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toyne, Kathryn D.","contributorId":146482,"corporation":false,"usgs":false,"family":"Toyne","given":"Kathryn","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":621327,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70170974,"text":"sir20165062 - 2016 - Suspended sediment delivery to Puget Sound from the lower Nisqually River, western Washington, July 2010–November 2011","interactions":[],"lastModifiedDate":"2016-05-27T07:34:17","indexId":"sir20165062","displayToPublicDate":"2016-05-26T00:00:00","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":"2016-5062","title":"Suspended sediment delivery to Puget Sound from the lower Nisqually River, western Washington, July 2010–November 2011","docAbstract":"<p class=\"p1\">On average, the Nisqually River delivers about 100,000 metric tons per year (t/yr) of suspended sediment to Puget Sound, western Washington, a small proportion of the estimated 1,200,000 metric tons (t) of sediment reported to flow in the upper Nisqually River that drains the glaciated, recurrently active Mount Rainier stratovolcano. Most of the upper Nisqually River sediment load is trapped in Alder Lake, a reservoir completed in 1945. For water year 2011 (October 1, 2010‒September 30, 2011), daily sediment and continuous turbidity data were used to determine that 106,000 t of suspended sediment were delivered to Puget Sound, and 36 percent of this load occurred in 2 days during a typical winter storm. Of the total suspended-sediment load delivered to Puget Sound in the water year 2011, 47 percent was sand (particle size &gt;0.063 millimeters), and the remainder (53 percent) was silt and clay. A sediment-transport curve developed from suspended-sediment samples collected from July 2010 to November 2011 agreed closely with a curve derived in 1973 using similar data-collection methods, indicating that similar sediment-transport conditions exist. The median annual suspended-sediment load of 73,000 t (water years 1980–2014) is substantially less than the average load, and the correlation (Pearson’s <i>r </i>= 0.80, <i>p </i>= 8.1E-9, <i>n</i>=35) between annual maximum 2-day sediment loads and normalized peak discharges for the period indicates the importance of wet years and associated peak discharges of the lower Nisqually River for sediment delivery to Puget Sound. The magnitude of peak discharges in the lower Nisqually River generally is suppressed by flow regulation, and relative to other free-flowing, glacier-influenced rivers entering Puget Sound, the Nisqually River delivers proportionally less sediment because of upstream sediment trapping from dams.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165062","collaboration":"Prepared in cooperation with the Nisqually Indian Tribe","usgsCitation":"Curran, C.A., Grossman, E.E., Magirl, C.S., and Foreman, J.R., 2016, Suspended sediment delivery to Puget Sound from the lower Nisqually River, western Washington, July 2010–November 2011: U.S. Geological Survey Scientific Investigations Report 2016-5062, 17 p., https://dx.doi.org/10.3133/sir20165062.","productDescription":"Report: vi, 17 p.; Appendixes A-D","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059554","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":321772,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5062/sir20165062_appendix_d.xlsx","text":"Appendix D","size":"28 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5062 Appendix D"},{"id":321769,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5062/sir20165062_appendix_a.xlsx","text":"Appendix A","size":"97 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5062 Appendix A"},{"id":321770,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5062/sir20165062_appendix_b.xlsx","text":"Appendix B","size":"1.5 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5062 Appendix B"},{"id":321771,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5062/sir20165062_appendix_c.xlsx","text":"Appendix C","size":"23 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5062 Appendix C"},{"id":321702,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5062/sir20165062.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5062"},{"id":321701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5062/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lower Nisqually River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.9,\n              46.62\n            ],\n            [\n              -122.9,\n              47.166666\n            ],\n            [\n              -121.6,\n              47.166666\n            ],\n            [\n              -121.6,\n              46.62\n            ],\n            [\n              -122.9,\n              46.62\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, Washington Water Science Center<br> U.S. Geological Survey<br> 934 Broadway, Suite 300<br> Tacoma, Washington 98402<br> <a href=\"http://wa.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://wa.water.usgs.gov\">http://wa.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract&nbsp;</li>\n<li>Introduction</li>\n<li>Methods of Data Collection and Analysis</li>\n<li>Suspended Sediment Delivery</li>\n<li>Summary</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendixes A-D</li>\n</ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-05-26","noUsgsAuthors":false,"publicationDate":"2016-05-26","publicationStatus":"PW","scienceBaseUri":"5748101be4b07e28b664c5fa","contributors":{"authors":[{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":2334,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[],"preferred":false,"id":629294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":3669,"corporation":false,"usgs":true,"family":"Foreman","given":"James","email":"jforeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":630351,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170898,"text":"sir20165058 - 2016 - Potential effects of sea-level rise on the depth to saturated sediments of the Sagamore and Monomoy flow lenses on Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2018-05-17T13:23:29","indexId":"sir20165058","displayToPublicDate":"2016-05-25T14:00:00","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":"2016-5058","title":"Potential effects of sea-level rise on the depth to saturated sediments of the Sagamore and Monomoy flow lenses on Cape Cod, Massachusetts","docAbstract":"<p>In 2014, the U.S. Geological Survey, in cooperation with the Association to Preserve Cape Cod, the Cape Cod Commission, and the Massachusetts Environmental Trust, began an evaluation of the potential effects of sea-level rise on water table altitudes and depths to water on central and western Cape Cod, Massachusetts. Increases in atmospheric and oceanic temperatures arising, in part, from the release of greenhouse gases likely will result in higher sea levels globally. Increasing water table altitudes in shallow, unconfined coastal aquifer systems could adversely affect infrastructure—roads, utilities, basements, and septic systems—particularly in low-lying urbanized areas. The Sagamore and Monomoy flow lenses on Cape Cod are the largest and most populous of the six flow lenses that comprise the region’s aquifer system, the Cape Cod glacial aquifer. The potential effects of sea-level rise on water table altitude and depths to water were evaluated by use of numerical models of the region. The Sagamore and Monomoy flow lenses have a number of large surface water drainages that receive a substantial amount of groundwater discharge, 47 and 29 percent of the total, respectively. The median increase in the simulated water table altitude following a 6-foot sea-level rise across both flow lenses was 2.11 feet, or 35 percent when expressed as a percentage of the total sea-level rise. The response is nearly the same as the sea-level rise (6 feet) in some coastal areas and less than 0.1 foot near some large inland streams. Median water table responses differ substantially between the Sagamore and Monomoy flow lenses—at 29 and 49 percent, respectively—because larger surface water discharge on the Sagamore flow lens results in increased dampening of the water table response than in the Monomoy flow lens. Surface waters dampen water table altitude increases because streams are fixed-altitude boundaries that cause hydraulic gradients and streamflow to increase as sea-level rises, partially fixing the local water table altitude.</p><p>The region has a generally thick vadose zone with a mean of about 38 feet; areas with depths to water of 5 feet or less, as estimated from light detection and ranging (lidar) data from 2011 and simulated water table altitudes, currently [2011] occur over about 24.9 square miles, or about 8.4 percent of the total land area of the Sagamore and Monomoy flow lenses, generally in low-lying coastal areas and inland near ponds and streams. Excluding potentially submerged areas, an additional 4.5, 9.8, and 15.9 square miles would have shallow depths to water (5 feet or less) for projected sea-level rises of 2, 4, and 6 feet above levels in 2011. The additional areas with shallow depths to water generally occur in the same areas as the areas with current [2011] depths to water of 5 feet or less: low-lying coastal areas and near inland surface water features. Additional areas with shallow depths to water for the largest sea-level rise prediction (6 feet) account for about 5.7 percent of the total land area, excluding areas likely to be inundated by seawater. The numerous surface water drainages will dampen the response of the water table to sea-level rise. This dampening, combined with the region’s thick vadose zone, likely will mitigate the potential for groundwater inundation in most areas. The potential does exist for groundwater inundation in some areas, but the effects of sea-level rise on depths to water and infrastructure likely will not be substantial on a regional level.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165058","collaboration":"Prepared in cooperation with the Association to Preserve Cape Cod, the Cape Cod Commission, and the Massachusetts Environmental Trust","usgsCitation":"Walter, D.A., McCobb, T.D., Masterson, J.P., and Fienen, M.N., 2016, Potential effects of sea-level rise on the depth to saturated sediments of the Sagamore and Monomoy flow lenses on Cape Cod, Massachusetts (ver. 1.1, October 18, 2016): U.S. Geological Survey Scientific Investigations Report 2016–5058, 55 p., https://dx.doi.org/10.3133/sir20165058.","productDescription":"vi, 55 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-071028","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":321216,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5058/sir20165058.pdf","text":"Report","size":"19.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5058"},{"id":321215,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5058/coverthb2.jpg"},{"id":329663,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5058/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.69427490234375,\n              41.509605687197975\n            ],\n            [\n              -70.69427490234375,\n              42.10943017110108\n            ],\n            [\n              -69.90463256835938,\n              42.10943017110108\n            ],\n            [\n              -69.90463256835938,\n              41.509605687197975\n            ],\n            [\n              -70.69427490234375,\n              41.509605687197975\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted May 25, 2016; Version 1.1: October 25,2016","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br> U.S. Geological Survey<br> 10 Bearfoot Road<br> Northborough, MA 01532</p><p>Or visit our Web site at<br> <a href=\"http://newengland.water.usgs.gov/\" data-mce-href=\"http://newengland.water.usgs.gov/\">http://newengland.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods of&nbsp;Analysis</li>\n<li>Effects of Sea-Level Rise on Water Table Altitudes and Depths to Water</li>\n<li>Limitations of&nbsp;Analysis</li>\n<li>Summary</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-05-25","revisedDate":"2016-10-25","noUsgsAuthors":false,"publicationDate":"2016-05-25","publicationStatus":"PW","scienceBaseUri":"5746be9fe4b07e28b662d77d","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":628966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCobb, Timothy D. 0000-0003-1533-847X tmccobb@usgs.gov","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":2012,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy","email":"tmccobb@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":628967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":150532,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":628968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":628969,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170972,"text":"ofr20161079 - 2016 - Evaluation of flood inundation in Crystal Springs Creek, Portland, Oregon","interactions":[],"lastModifiedDate":"2016-05-25T16:01:15","indexId":"ofr20161079","displayToPublicDate":"2016-05-25T13:00:00","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":"2016-1079","title":"Evaluation of flood inundation in Crystal Springs Creek, Portland, Oregon","docAbstract":"<p>Efforts to improve fish passage have resulted in the replacement of six culverts in Crystal Springs Creek in Portland, Oregon. Two more culverts are scheduled to be replaced at Glenwood Street and Bybee Boulevard (Glenwood/Bybee project) in 2016. Recently acquired data have allowed for a more comprehensive understanding of the hydrology of the creek and the topography of the watershed. To evaluate the impact of the culvert replacements and recent hydrologic data, a Hydrologic Engineering Center-River Analysis System hydraulic model was developed to estimate water-surface elevations during high-flow events. Longitudinal surface-water profiles were modeled to evaluate current conditions and future conditions using the design plans for the culverts to be installed in 2016. Additional profiles were created to compare with the results from the most recent flood model approved by the Federal Emergency Management Agency for Crystal Springs Creek and to evaluate model sensitivity.</p><p>Model simulation results show that water-surface elevations during high-flow events will be lower than estimates from previous models, primarily due to lower estimates of streamflow associated with the 0.01 and 0.002 annual exceedance probability (AEP) events. Additionally, recent culvert replacements have resulted in less ponding behind crossings. Similarly, model simulation results show that the proposed replacement culverts at Glenwood Street and Bybee Boulevard will result in lower water-surface elevations during high-flow events upstream of the proposed project. Wider culverts will allow more water to pass through crossings, resulting in slightly higher water-surface elevations downstream of the project during high-flows than water-surface elevations that would occur under current conditions. For the 0.01 AEP event, the water-surface elevations downstream of the Glenwood/Bybee project will be an average of 0.05 ft and a maximum of 0.07 ft higher than current conditions. Similarly, for the 0.002 AEP event, the water-surface elevations will be an average of 0.04 ft and a maximum of 0.19 ft higher than current conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161079","collaboration":"Prepared in cooperation with the City of Portland Bureau of Environmental Services","usgsCitation":"Stonewall, Adam, and Hess, Glen, 2016, Evaluation of flood inundation in Crystal Springs Creek, Portland, Oregon: U.S. Geological Survey Open-File Report 2016-1079, 33 p., https://dx.doi.org/10.3133/ofr20161079.","productDescription":"Report: iv, 33 p.; Plate: 24.00 x 36.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052885","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":321611,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1079/ofr20161079.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1079 Report PDF"},{"id":321612,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2016/1079/ofr20161079_plate1.pdf","text":"Plate 1","size":"9.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1079 Plate 1 PDF"},{"id":321610,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1079/coverthb.jpg"}],"country":"United States","state":"Oregon","city":"Portland","otherGeospatial":"Crystal Springs Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.62,\n              45.45\n            ],\n            [\n              -122.62,\n              45.5\n            ],\n            [\n              -122.65,\n              45.5\n            ],\n            [\n              -122.65,\n              45.45\n            ],\n            [\n              -122.62,\n              45.45\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, Oregon Water Science Center<br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201<br><a href=\"http://or.water.usgs.gov\" data-mce-href=\"http://or.water.usgs.gov\">http://or.water.usgs.gov</a><br></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Model Development</li>\n<li>Flood Inundation Evaluation</li>\n<li>Sensitivity Analysis</li>\n<li>Suggestions for Future Research</li>\n<li>Summary</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Glossary</li>\n</ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-05-25","noUsgsAuthors":false,"publicationDate":"2016-05-25","publicationStatus":"PW","scienceBaseUri":"5746be9ee4b07e28b662d77b","contributors":{"authors":[{"text":"Stonewall, Adam 0000-0002-3277-8736 stonewal@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-8736","contributorId":139097,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam","email":"stonewal@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hess, Glen gwhess@usgs.gov","contributorId":4619,"corporation":false,"usgs":true,"family":"Hess","given":"Glen","email":"gwhess@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178789,"text":"70178789 - 2016 - Population trends for North American winter birds based on hierarchical models","interactions":[],"lastModifiedDate":"2016-12-07T15:02:11","indexId":"70178789","displayToPublicDate":"2016-05-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Population trends for North American winter birds based on hierarchical models","docAbstract":"<p class=\"p1\"><span class=\"s1\">Managing widespread and persistent threats to birds requires knowledge of population dynamics at large spatial and temporal scales. For over 100&nbsp;yrs, the Audubon Christmas Bird Count (CBC) has enlisted volunteers in bird monitoring efforts that span the Americas, especially southern Canada and the United States. We employed a Bayesian hierarchical model to control for variation in survey effort among CBC circles and, using CBC data from 1966 to 2013, generated early-winter population trend estimates for 551 species of birds. Selecting a subset of species that do not frequent bird feeders and have ≥25% range overlap with the distribution of CBC circles (228 species) we further estimated aggregate (i.e., across species) trends for the entire study region and at the level of states/provinces, Bird Conservation Regions, and Landscape Conservation Cooperatives. Moreover, we examined the relationship between ten biological traits—range size, population size, migratory strategy, habitat affiliation, body size, diet, number of eggs per clutch, age at sexual maturity, lifespan, and tolerance of urban/suburban settings—and CBC trend estimates. Our results indicate that 68% of the 551 species had increasing trends within the study area over the interval 1966–2013. When trends were examined across the subset of 228 species, the median population trend for the group was 0.9% per year at the continental level. At the regional level, aggregate trends were positive in all but a few areas. Negative population trends were evident in lower latitudes, whereas the largest increases were at higher latitudes, a pattern consistent with range shifts due to climate change. Nine of 10 biological traits were significantly associated with median population trend; however, none of the traits explained &gt;34% of the deviance in the data, reflecting the indirect relationships between population trend estimates and species traits. Trend estimates based on the CBC are broadly congruent with estimates based on the North American Breeding Bird Survey, another large-scale monitoring program. Both of these efforts, conducted by citizen scientists, will be required going forward to ensure robust inference about population dynamics in the face of climate and land cover changes.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1351","usgsCitation":"Soykan, C.U., Sauer, J.R., Schuetz, J.G., LeBaron, G.S., Dale, K., and Langham, G.M., 2016, Population trends for North American winter birds based on hierarchical models: Ecosphere, v. 7, no. 5, Article e01351; 16 p., https://doi.org/10.1002/ecs2.1351.","productDescription":"Article e01351; 16 p.","ipdsId":"IP-068486","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470967,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1351","text":"Publisher Index Page"},{"id":331648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"58492df4e4b06d80b7b093ac","contributors":{"authors":[{"text":"Soykan, Candan U.","contributorId":177253,"corporation":false,"usgs":false,"family":"Soykan","given":"Candan","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":655134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":655133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuetz, Justin G.","contributorId":177254,"corporation":false,"usgs":false,"family":"Schuetz","given":"Justin","email":"","middleInitial":"G.","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":655135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeBaron, Geoffrey S.","contributorId":177255,"corporation":false,"usgs":false,"family":"LeBaron","given":"Geoffrey","email":"","middleInitial":"S.","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":655136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dale, Kathy","contributorId":177256,"corporation":false,"usgs":false,"family":"Dale","given":"Kathy","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":655137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langham, Gary M.","contributorId":177257,"corporation":false,"usgs":false,"family":"Langham","given":"Gary","email":"","middleInitial":"M.","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":655138,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176147,"text":"70176147 - 2016 - End of the chain? Rugosity and fine-scale bathymetry from existing underwater digital imagery using structure-from-motion (SfM) technology","interactions":[],"lastModifiedDate":"2016-08-30T14:18:01","indexId":"70176147","displayToPublicDate":"2016-05-23T18:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"End of the chain? Rugosity and fine-scale bathymetry from existing underwater digital imagery using structure-from-motion (SfM) technology","docAbstract":"<p>The rugosity or complexity of the seafloor has been shown to be an important ecological parameter for fish, algae, and corals. Historically, rugosity has been measured either using simple and subjective manual methods such as &lsquo;chain-and-tape&rsquo; or complicated and expensive geophysical methods. Here, we demonstrate the application of structure-from-motion (SfM) photogrammetry to generate high-resolution, three-dimensional bathymetric models of a fringing reef from existing underwater video collected to characterize the seafloor. SfM techniques are capable of achieving spatial resolution that can be orders of magnitude greater than large-scale lidar and sonar mapping of coral reef ecosystems. The resulting data provide finer-scale measurements of bathymetry and rugosity that are more applicable to ecological studies of coral reefs than provided by the more expensive and time-consuming geophysical methods. Utilizing SfM techniques for characterizing the benthic habitat proved to be more effective and quantitatively powerful than conventional methods and thus might portend the end of the &lsquo;chain-and-tape&rsquo; method for measuring benthic complexity.</p>","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s00338-016-1462-8","usgsCitation":"Storlazzi, C.D., Dartnell, P., Hatcher, G., and Gibbs, A.E., 2016, End of the chain? Rugosity and fine-scale bathymetry from existing underwater digital imagery using structure-from-motion (SfM) technology: Coral Reefs, v. 35, no. 3, p. 889-894, https://doi.org/10.1007/s00338-016-1462-8.","productDescription":"5 p.","startPage":"889","endPage":"894","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069114","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":328062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-23","publicationStatus":"PW","scienceBaseUri":"57c6af43e4b0f2f0cebe4ae0","chorus":{"doi":"10.1007/s00338-016-1462-8","url":"http://dx.doi.org/10.1007/s00338-016-1462-8","publisher":"Springer Nature","authors":"Storlazzi Curt D., Dartnell Peter, Hatcher Gerald A., Gibbs Ann E.","journalName":"Coral Reefs","publicationDate":"5/23/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"5/23/2016"},"contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":647474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":647475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatcher, Gerry ghatcher@usgs.gov","contributorId":3556,"corporation":false,"usgs":true,"family":"Hatcher","given":"Gerry","email":"ghatcher@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":647476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":647477,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170583,"text":"ofr20161065 - 2016 - Development of a decision support tool for water and resource management using biotic, abiotic, and hydrological assessments of Topock Marsh, Arizona","interactions":[],"lastModifiedDate":"2016-05-24T08:51:11","indexId":"ofr20161065","displayToPublicDate":"2016-05-23T16:30:00","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":"2016-1065","title":"Development of a decision support tool for water and resource management using biotic, abiotic, and hydrological assessments of Topock Marsh, Arizona","docAbstract":"<p>Topock Marsh is a large wetland adjacent to the Colorado River and the main feature of Havasu National Wildlife Refuge (Havasu NWR) in southern Arizona. In 2010, the U.S. Fish and Wildlife Service (FWS) and Bureau of Reclamation began a project to improve water management capabilities at Topock Marsh and protect habitats and species. Initial construction required a drawdown, which caused below-average inflows and water depths in 2010–11. U.S. Geological Survey Fort Collins Science Center (FORT) scientists collected an assemblage of biotic, abiotic, and hydrologic data from Topock Marsh during the drawdown and immediately after, thus obtaining valuable information needed by FWS.</p><p>Building upon that work, FORT developed a decision support system (DSS) to better understand ecosystem health and function of Topock Marsh under various hydrologic conditions. The DSS was developed using a spatially explicit geographic information system package of historical data, habitat indices, and analytical tools to synthesize outputs for hydrologic time periods. Deliverables include high-resolution orthorectified imagery of Topock Marsh; a DSS tool that can be used by Havasu NWR to compare habitat availability associated with three hydrologic scenarios (dry, average, wet years); and this final report which details study results. This project, therefore, has addressed critical FWS management questions by integrating ecologic and hydrologic information into a DSS framework. This DSS will assist refuge management to make better informed decisions about refuge operations and better understand the ecological results of those decisions by providing tools to identify the effects of water operations on species-specific habitat and ecological processes. While this approach was developed to help FWS use the best available science to determine more effective water management strategies at Havasu NWR, technologies used in this study could be applied elsewhere within the region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161065","collaboration":"In cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Holmquist-Johnson, Chris; Hanson, Leanne; Daniels, Joan; Talbert, Colin; and Haegele, Jeanette, 2016, Development of a decision support tool for water and resource management using biotic, abiotic, and hydrological assessments of Topock Marsh, Arizona: U.S. Geological Survey Open-File Report 2016–1065, 121 p., https://dx.doi.org/10.3133/ofr20161065.","productDescription":"viii, 121 p.","numberOfPages":"130","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070577","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":321529,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1065/ofr20161065.pdf","text":"Report","size":"55.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1065"},{"id":321528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1065/coverthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Topock Marsh","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.57572937011719,\n              34.75233231513255\n            ],\n            [\n              -114.57572937011719,\n              34.85015678001124\n            ],\n            [\n              -114.46826934814453,\n              34.85015678001124\n            ],\n            [\n              -114.46826934814453,\n              34.75233231513255\n            ],\n            [\n              -114.57572937011719,\n              34.75233231513255\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Center Director, USGS Fort Collins Science Center&nbsp;<br>2150 Centre Ave., Bldg. C<br>Box 25046, MS-939<br>Fort Collins, CO 80526-8118</p><p><a href=\"http://www.fort.usgs.gov/\" data-mce-href=\"http://www.fort.usgs.gov/\">http://www.fort.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Tier 1—Water Quality and Aquatic Biota Assessment</li><li>Tier 2—Emergent Vegetation Mapping and Assessment using Unmanned Aircraft and Remote Sensing Data</li><li>Tier 3—Hydrologic Model Development and Marsh Topography</li><li>Tier 4—Development of Decision Support System for Water and Resource Management</li><li>Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. User’s Manual for the Havasu NWR Decision Support System (DSS)</li><li>References Cited</li><li>Appendix 2. Report by Colorado State University: Mapping Land Cover and Invasive Tamarisk in Havasu National Wildlife Refuge, AZ</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-05-23","noUsgsAuthors":false,"publicationDate":"2016-05-23","publicationStatus":"PW","scienceBaseUri":"574d5643e4b07e28b667f70f","contributors":{"authors":[{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687 h-johnsonc@usgs.gov","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":168648,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","email":"h-johnsonc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":627764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Leanne hansonl@usgs.gov","contributorId":3231,"corporation":false,"usgs":true,"family":"Hanson","given":"Leanne","email":"hansonl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":630077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniels, Joan joan_daniels@usgs.gov","contributorId":169576,"corporation":false,"usgs":true,"family":"Daniels","given":"Joan","email":"joan_daniels@usgs.gov","affiliations":[],"preferred":false,"id":630078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbert, Colin talbertc@usgs.gov","contributorId":4668,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":630079,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haegele, Jeanette","contributorId":169578,"corporation":false,"usgs":false,"family":"Haegele","given":"Jeanette","affiliations":[],"preferred":false,"id":630080,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70169906,"text":"ds985 - 2016 - Sediment data collected in 2014 from Barnegat Bay, New Jersey","interactions":[],"lastModifiedDate":"2016-05-23T11:30:32","indexId":"ds985","displayToPublicDate":"2016-05-23T11:30:00","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":"985","title":"Sediment data collected in 2014 from Barnegat Bay, New Jersey","docAbstract":"<p>In response to the 2010 Governor’s Action Plan to clean up the Barnegat Bay–Little Egg Harbor (BBLEH) estuary in New Jersey, the U.S. Geological Survey (USGS) partnered with the New Jersey Department of Environmental Protection in 2011 to begin a multidisciplinary research project to understand the physical controls on water quality in the bay. Between 2011 and 2013, USGS scientists mapped the geological and morphological characteristics of the seafloor of the BBLEH estuary using a suite of geophysical tools. However, this mapping effort included only surficial characterization of bay sediments; to verify the sub-surface geophysical data, sediment cores were required.</p><p>This report serves as an archive of sedimentologic data from 18 vibracores collected from Barnegat Bay between May and August of 2014 by the U.S. Department of Agriculture Natural Resources Conservation Service (NRCS) on behalf of the USGS. The vibracores were collected in conjunction with an ongoing NRCS subaqueous soil survey for the BBLEH estuary. The data presented in this report, including descriptive core logs, core photographs, processed grain-size data, and Geographic Information System (GIS) data files with accompanying formal Federal Geographic Data Committee metadata, can be viewed or downloaded from the Data Products and Downloads page.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds985","usgsCitation":"Bernier, J.C., Stalk, C.A., Kelso, K.W., Miselis, J.L., and Tunstead, Rob, 2016, Sediment data collected in 2014 from Barnegat Bay, New Jersey: U.S. Geological Survey Data Series 985, https://dx.doi.org/10.3133/ds985.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2014-01-01","ipdsId":"IP-066177","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":321488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":320982,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0985"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.41177368164061,\n              39.52099229357195\n            ],\n            [\n              -74.41177368164061,\n              40.07386810509482\n            ],\n            [\n              -74.01351928710938,\n              40.07386810509482\n            ],\n            [\n              -74.01351928710938,\n              39.52099229357195\n            ],\n            [\n              -74.41177368164061,\n              39.52099229357195\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, St. Petersburg Coastal and Marine Science Center<br> 600 4th Street South<br> St. Petersburg, FL 33701<br> (727) 502-8000<br> <a href=\"http://coastal.er.usgs.gov\" data-mce-href=\"http://coastal.er.usgs.gov\">http://coastal.er.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Field Data Collection</li><li>Laboratory Methods and Analyses</li><li>Data Products and Downloads</li><li>References Cited</li><li>Abbreviations</li></ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-05-23","noUsgsAuthors":false,"publicationDate":"2016-05-23","publicationStatus":"PW","scienceBaseUri":"57441b9ce4b07e28b660dac0","contributors":{"authors":[{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":625554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stalk, Chelsea cstalk@usgs.gov","contributorId":168355,"corporation":false,"usgs":true,"family":"Stalk","given":"Chelsea","email":"cstalk@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":625555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":625556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":625557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tunstead, Rob","contributorId":168356,"corporation":false,"usgs":false,"family":"Tunstead","given":"Rob","email":"","affiliations":[{"id":25265,"text":"USDA National Resources Conservation Service","active":true,"usgs":false}],"preferred":false,"id":625558,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}