No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oxford Bibliographies in Environmental Science","language":"English","publisher":"Oxford University Press","doi":"10.1093/OBO/9780199363445-0048","usgsCitation":"Allen, C.R., Garmestani, A.S., and Angeler, D., 2016, Resilience, chap. of Oxford Bibliographies in Environmental Science, https://doi.org/10.1093/OBO/9780199363445-0048.","ipdsId":"IP-069354","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c97e4b06e28e9cabb0e","contributors":{"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":712976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":725968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":725969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179689,"text":"70179689 - 2016 - Watershed-scale changes in terrestrial nitrogen cycling during a period of decreased atmospheric nitrate and sulfur deposition","interactions":[],"lastModifiedDate":"2018-03-30T12:49:09","indexId":"70179689","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Watershed-scale changes in terrestrial nitrogen cycling during a period of decreased atmospheric nitrate and sulfur deposition","docAbstract":"Recent reports suggest that decreases in atmospheric nitrogen (N) deposition throughout Europe and North America may have resulted in declining nitrate export in surface waters in recent decades, yet it is unknown if and how terrestrial N cycling was affected. During a period of decreased atmospheric N deposition, we assessed changes in forest N cycling by evaluating trends in tree-ring δ15N values (between 1980 and 2010; n = 20 trees per watershed), stream nitrate yields (between 2000 and 2011), and retention of atmospherically-deposited N (between 2000 and 2011) in the North and South Tributaries (North and South, respectively) of Buck Creek in the Adirondack Mountains, USA. We hypothesized that tree-ring δ15N values would decline following decreases in atmospheric N deposition (after approximately 1995), and that trends in stream nitrate export and retention of atmospherically deposited N would mirror changes in tree-ring δ15N values. Three of the six sampled tree species and the majority of individual trees showed declining linear trends in δ15N for the period 1980–2010; only two individual trees showed increasing trends in δ15N values. From 1980 to 2010, trees in the watersheds of both tributaries displayed long-term declines in tree-ring δ15N values at the watershed scale (R = −0.35 and p = 0.001 in the North and R = −0.37 and p <0.001 in the South). The decreasing δ15N trend in the North was associated with declining stream nitrate concentrations (−0.009 mg N L−1 yr−1, p = 0.02), but no change in the retention of atmospherically deposited N was observed. In contrast, nitrate yields in the South did not exhibit a trend, and the watershed became less retentive of atmospherically deposited N (−7.3% yr−1, p < 0.001). Our δ15N results indicate a change in terrestrial N availability in both watersheds prior to decreases in atmospheric N deposition, suggesting that decreased atmospheric N deposition was not the sole driver of tree-ring δ15N values at these sites. Other factors, such as decreased sulfur deposition, disturbance, long-term successional trends, and/or increasing atmospheric CO2concentrations, may also influence trends in tree-ring δ15N values. Furthermore, declines in terrestrial N availability inferred from tree-ring δ15N values do not always correspond with decreased stream nitrate export or increased retention of atmospherically deposited N.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2016.08.055","usgsCitation":"Sabo, R.D., Scanga, S.E., Lawrence, G.B., Nelson, D.M., Eshleman, K., Zabala, G.A., Alinea, A.A., and Schirmer, C.D., 2016, Watershed-scale changes in terrestrial nitrogen cycling during a period of decreased atmospheric nitrate and sulfur deposition: Atmospheric Environment, v. 146, p. 271-279, https://doi.org/10.1016/j.atmosenv.2016.08.055.","productDescription":"9 p.","startPage":"271","endPage":"279","ipdsId":"IP-073355","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":471363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2016.08.055","text":"Publisher Index Page"},{"id":352815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea59e4b0da30c1bfc603","contributors":{"authors":[{"text":"Sabo, Robert D. 0000-0001-8713-7699","orcid":"https://orcid.org/0000-0001-8713-7699","contributorId":178226,"corporation":false,"usgs":false,"family":"Sabo","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":658251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanga, Sara E. 0000-0003-4022-4167","orcid":"https://orcid.org/0000-0003-4022-4167","contributorId":178227,"corporation":false,"usgs":false,"family":"Scanga","given":"Sara","email":"","middleInitial":"E.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":658252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, David M.","contributorId":175098,"corporation":false,"usgs":false,"family":"Nelson","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":658253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eshleman, Keith N.","contributorId":178228,"corporation":false,"usgs":false,"family":"Eshleman","given":"Keith N.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":658254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zabala, Gabriel A.","contributorId":178229,"corporation":false,"usgs":false,"family":"Zabala","given":"Gabriel","email":"","middleInitial":"A.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":658255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alinea, Alexandria A.","contributorId":178230,"corporation":false,"usgs":false,"family":"Alinea","given":"Alexandria","email":"","middleInitial":"A.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":658256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schirmer, Charles D.","contributorId":178231,"corporation":false,"usgs":false,"family":"Schirmer","given":"Charles","email":"","middleInitial":"D.","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":658257,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70190332,"text":"70190332 - 2016 - Fire in the Earth System: Bridging data and modeling research","interactions":[],"lastModifiedDate":"2017-08-26T17:20:10","indexId":"70190332","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Fire in the Earth System: Bridging data and modeling research","docAbstract":"Significant changes in wildfire occurrence, extent, and severity in areas such as western North America and Indonesia in 2015 have made the issue of fire increasingly salient in both the public and scientific spheres. Biomass combustion rapidly transforms land cover, smoke pours into the atmosphere, radiative heat from fires initiates dramatic pyrocumulus clouds, and the repeated ecological and atmospheric effects of fire can even impact regional and global climate. Furthermore, fires have a significant impact on human health, livelihoods, and social and economic systems.
Modeling and databased methods to understand fire have rapidly coevolved over the past decade. Satellite and ground-based data about present-day fire are widely available for applications in research and fire management. Fire modeling has developed in part because of the evolution in vegetation and Earth system modeling efforts, but parameterizations and validation are largely focused on the present day because of the availability of satellite data. Charcoal deposits in sediment cores have emerged as a powerful method to evaluate trends in biomass burning extending back to the Last Glacial Maximum and beyond, and these records provide a context for present-day fire. The Global Charcoal Database version 3 compiled about 700 charcoal records and more than 1,000 records are expected for the future version 4. Together, these advances offer a pathway to explore how the strengths of fire data and fire modeling could address the weaknesses in the overall understanding of human-climate–fire linkages.
A community of researchers studying fire in the Earth system with individual expertise that included paleoecology, paleoclimatology, modern ecology, archaeology, climate, and Earth system modeling, statistics, geography, biogeochemistry, and atmospheric science met at an intensive workshop in Massachusetts to explore new research directions and initiate new collaborations. Research themes, which emerged from the workshop participants via preworkshop surveys, focused on addressing the following questions: What are the climatic, ecological, and human drivers of fire regimes, both past and future? What is the role of humans in shaping historical fire regimes? How does fire ecology affect land cover changes, biodiversity, carbon storage, and human land uses? What are the historical fire trends and their impacts across biomes? Are their impacts local and/or regional? Are the fire trends in the last two decades unprecedented from a historical perspective? The workshop1 aimed to develop testable hypotheses about fire, climate, vegetation, and human interactions by leveraging the confluence of proxy, observational, and model data related to decadal- to millennial-scale fire activity on our planet. New research directions focused on broad interdisciplinary approaches to highlight how knowledge about past fire activity could provide a more complete understanding of the predictive capacity of fire models and inform fire policy in the face of our changing climate.
","largerWorkTitle":"Bulletin of the American Meteorological Society (BAMS)","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-15-00319.1","usgsCitation":"Hantson, S., Kloster, S., Coughlan, M., Daniau, A., Vanniere, B., Bruecher, T., Kehrwald, N.M., and Magi, B.I., 2016, Fire in the Earth System: Bridging data and modeling research: Bulletin of the American Meteorological Society, v. 97, no. 6, p. 1069-1072, https://doi.org/10.1175/BAMS-D-15-00319.1.","productDescription":"4 p.","startPage":"1069","endPage":"1072","ipdsId":"IP-071531","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":471389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-15-00319.1","text":"Publisher Index Page"},{"id":345161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-08","publicationStatus":"PW","scienceBaseUri":"59a288c9e4b077f0056692b1","contributors":{"authors":[{"text":"Hantson, Srijn","contributorId":195866,"corporation":false,"usgs":false,"family":"Hantson","given":"Srijn","affiliations":[{"id":34430,"text":"Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany","active":true,"usgs":false}],"preferred":false,"id":708480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kloster, Silvia","contributorId":195867,"corporation":false,"usgs":false,"family":"Kloster","given":"Silvia","email":"","affiliations":[{"id":32387,"text":"Max Planck Institute for Meteorology, Hamburg, Germany","active":true,"usgs":false}],"preferred":false,"id":708481,"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":708482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniau, Anne-Laure","contributorId":195869,"corporation":false,"usgs":false,"family":"Daniau","given":"Anne-Laure","email":"","affiliations":[{"id":34431,"text":"Université de Bordeaux, Talence, France","active":true,"usgs":false}],"preferred":false,"id":708483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanniere, Boris","contributorId":195870,"corporation":false,"usgs":false,"family":"Vanniere","given":"Boris","affiliations":[{"id":34432,"text":"Université Bourgogne Franche-Comté, Besançon, France","active":true,"usgs":false}],"preferred":false,"id":708484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bruecher, Tim","contributorId":195871,"corporation":false,"usgs":false,"family":"Bruecher","given":"Tim","email":"","affiliations":[{"id":34427,"text":"GEOMAR, Helmholtz Centre for Ocean Research","active":true,"usgs":false}],"preferred":false,"id":708485,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":708479,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":708486,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70188442,"text":"70188442 - 2016 - Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand","interactions":[],"lastModifiedDate":"2018-03-26T13:43:31","indexId":"70188442","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5419,"text":"Annals of the American Association of Geographers","active":true,"publicationSubtype":{"id":10}},"title":"Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand","docAbstract":"Soils on many of the outwash plains in southwestern Michigan have loamy upper profiles, despite being underlain by sand-textured outwash. The origin of this upper, loamy material has long been unknown. The purpose of this study is to analyze the spatio-textural characteristics of these loamy-textured sediments to ascertain their origin(s). The textural curves of this material have distinct bimodality, with clear silt and sand peaks. Because the sand peaks align with those in the outwash below, we conclude that the upper material is a mixture of an initially silty material with the sand from below, forming loamy textures. By applying a textural filtering operation to the data, we determined its original characteristics; nearly all of the soils originally had silt loam upper profiles, typical for loess. Field data showed that the loamy material is thickest east of a broad, north–south trending valley (the Niles-Thornapple Spillway) that once carried glacial meltwater. The material becomes thinner, generally better sorted, and finer in texture eastward, away from this channel. We conclude that the loamy mantle on many of the adjacent outwash plains is silt-rich loess, derived from the Niles-Thornapple Spillway and its tributary channels and transported on mainly westerly winds. The spillway was active between ca. 17.3 and 16.8 k cal. years ago. At this time, a large network of tunnel channels existed beneath the stagnant Saginaw lobe ice. Meltwater from the lobe funneled silt-rich sediment into the spillway, rendering it a prodigious silt source.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00045608.2015.1115388","usgsCitation":"Luehmann, M.D., Peter, B.G., Connallon, C.B., Schaetzl, R.J., Smidt, S.J., Liu, W., Kincare, K.A., Walkowiak, T.A., Thorlund, E., and Holler, M.S., 2016, Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand: Annals of the American Association of Geographers, v. 106, no. 3, p. 551-572, https://doi.org/10.1080/00045608.2015.1115388.","productDescription":"22 p.","startPage":"551","endPage":"572","ipdsId":"IP-062646","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.85791015625,\n 41.76721469421018\n ],\n [\n -84.52880859375,\n 41.76721469421018\n ],\n [\n -84.52880859375,\n 42.767178634023345\n ],\n [\n -86.85791015625,\n 42.767178634023345\n ],\n [\n -86.85791015625,\n 41.76721469421018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-29","publicationStatus":"PW","scienceBaseUri":"593bb3a5e4b0764e6c60e7c9","contributors":{"authors":[{"text":"Luehmann, Michael D.","contributorId":192812,"corporation":false,"usgs":false,"family":"Luehmann","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peter, Brad G.","contributorId":192813,"corporation":false,"usgs":false,"family":"Peter","given":"Brad","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":697774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connallon, Christopher B.","contributorId":192814,"corporation":false,"usgs":false,"family":"Connallon","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":697775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaetzl, Randall J.","contributorId":192815,"corporation":false,"usgs":false,"family":"Schaetzl","given":"Randall","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":697776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":697777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Wei","contributorId":192817,"corporation":false,"usgs":false,"family":"Liu","given":"Wei","email":"","affiliations":[],"preferred":false,"id":697778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kincare, Kevin A. 0000-0002-1050-3627 kkincare@usgs.gov","orcid":"https://orcid.org/0000-0002-1050-3627","contributorId":2106,"corporation":false,"usgs":true,"family":"Kincare","given":"Kevin","email":"kkincare@usgs.gov","middleInitial":"A.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":697772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walkowiak, Toni A.","contributorId":192818,"corporation":false,"usgs":false,"family":"Walkowiak","given":"Toni","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":697779,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorlund, Elin","contributorId":192819,"corporation":false,"usgs":false,"family":"Thorlund","given":"Elin","email":"","affiliations":[],"preferred":false,"id":697780,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holler, Marie S.","contributorId":192820,"corporation":false,"usgs":false,"family":"Holler","given":"Marie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":697781,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70192493,"text":"70192493 - 2016 - Decision analysis for habitat conservation of an endangered, range-limited salamander","interactions":[],"lastModifiedDate":"2017-10-26T10:37:54","indexId":"70192493","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Decision analysis for habitat conservation of an endangered, range-limited salamander","docAbstract":"Many species of conservation concern are habitat limited and often a major focus of management for these species is habitat acquisition and/or restoration. Deciding the location of habitat restoration or acquisition to best benefit a protected species can be a complicated subject with competing management objectives, ecological uncertainties and stochasticity. Structured decision making (SDM) could be a useful approach for explicitly incorporating those complexities while still working toward species conservation and/or recovery. We applied an SDM approach to Red Hills salamander Phaeognathus hubrichti habitat conservation decision making. Phaeognathus hubrichti is a severely range-limited endemic species in south central Alabama and has highly specific habitat requirements. Many known populations live on private lands and the primary mode of habitat protection is habitat conservation planning, but such plans are non-binding and not permanent. Working with stakeholders, we developed an objectives hierarchy linking land acquisition or protection actions to fundamental objectives. We built a model to assess and compare the quality of the habitat in the known range of P. hubrichti. Our model evaluated key habitat attributes of 5814 pixels of 1 km2 each and ranked the pixels from best to worst with respect to P. hubrichti habitat requirements. Our results are a spatially explicit valuation of each pixel, with respect to its probable benefit to P. hubrichti populations. The results of this effort will be used to rank pixels from most to least beneficial, then identify land owners in the most useful areas for salamanders who are willing to sell or enter into a permanent easement agreement.
","language":"English","publisher":"Wiley","doi":"10.1111/acv.12275","usgsCitation":"Robinson, O.J., McGowan, C., and Apodaca, J., 2016, Decision analysis for habitat conservation of an endangered, range-limited salamander: Animal Conservation, v. 19, no. 6, p. 561-569, https://doi.org/10.1111/acv.12275.","productDescription":"9 p.","startPage":"561","endPage":"569","ipdsId":"IP-065441","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","volume":"19","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-17","publicationStatus":"PW","scienceBaseUri":"5a07ea76e4b09af898c8cc8f","contributors":{"authors":[{"text":"Robinson, Orin J.","contributorId":167172,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","email":"","middleInitial":"J.","affiliations":[{"id":33694,"text":"School of Forestry and Wildlife Sciences, Auburn University","active":true,"usgs":false}],"preferred":false,"id":716104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Conor P. cmcgowan@usgs.gov","contributorId":145496,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":716105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apodaca, J.J.","contributorId":150788,"corporation":false,"usgs":false,"family":"Apodaca","given":"J.J.","email":"","affiliations":[{"id":35237,"text":"Warren Wilson College, Asheville, North Carolina","active":true,"usgs":false}],"preferred":false,"id":716106,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192450,"text":"70192450 - 2016 - Soil mercury distribution in adjacent coniferous and deciduous stands highly impacted by acid rain in the Ore Mountains, Czech Republic","interactions":[],"lastModifiedDate":"2017-10-25T18:12:38","indexId":"70192450","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Soil mercury distribution in adjacent coniferous and deciduous stands highly impacted by acid rain in the Ore Mountains, Czech Republic","docAbstract":"Forests play a primary role in the cycling and storage of mercury (Hg) in terrestrial ecosystems. This study aimed to assess differences in Hg cycling and storage resulting from different vegetation at two adjacent forest stands - beech and spruce. The study site Načetín in the Czech Republic's Black Triangle received high atmospheric loadings of Hg from coal combustion in the second half of the 20th century as documented by peat accumulation rates reaching 100 μg m−2 y−1. In 2004, the annual litterfall Hg flux was 22.5 μg m−2 y−1 in the beech stand and 14.5 μg m−2 y−1 in the spruce stand. Soil concentrations and pools of Hg had a strong positive relation to soil organic matter and concentrations of soil sulfur (S) and nitrogen (N). O-horizon Hg concentrations ranged from 245 to 495 μg kg−1 and were greater in the spruce stand soil, probably as a result of greater dry Hg deposition. Mineral soil Hg concentrations ranged from 51 to 163 μg kg−1 and were greater in the beech stand soil due to its greater capacity to store organic carbon (C). The Hg/C ratio increased with depth from 0.3 in the O-horizon to 3.8 μg g−1 in the C horizon of spruce soil and from 0.7 to 2.7 μg g−1 in beech soil. The Hg/C ratio was greater at all mineral soil depths in the spruce stand. The organic soil Hg pools in beech and spruce stands (6.4 and 5.7 mg m−2, respectively) were considerably lower than corresponding mineral soil Hg pools (39.1 and 25.8 mg m−2). Despite the important role of S in Hg cycling, differences in soil Hg distribution at both stands could not be attributed to differences in soil sulfur speciation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2016.10.005","usgsCitation":"Navrátil, T., Shanley, J.B., Rohovec, J., Oulehle, F., Simecek, M., Houska, J., and Cudlin, P., 2016, Soil mercury distribution in adjacent coniferous and deciduous stands highly impacted by acid rain in the Ore Mountains, Czech Republic: Applied Geochemistry, v. 75, p. 63-75, https://doi.org/10.1016/j.apgeochem.2016.10.005.","productDescription":"13 p.","startPage":"63","endPage":"75","ipdsId":"IP-079376","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":347423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Czech Republic","otherGeospatial":"Ore Mountains","volume":"75","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a7e4b0220bbd9d9f80","contributors":{"authors":[{"text":"Navrátil, Tomáš","contributorId":149720,"corporation":false,"usgs":false,"family":"Navrátil","given":"Tomáš","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":715898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rohovec, Jan","contributorId":149721,"corporation":false,"usgs":false,"family":"Rohovec","given":"Jan","email":"","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":715899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oulehle, Filip","contributorId":149722,"corporation":false,"usgs":false,"family":"Oulehle","given":"Filip","email":"","affiliations":[{"id":17791,"text":"Czech Geological Survey","active":true,"usgs":false}],"preferred":false,"id":715900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simecek, Martin","contributorId":198385,"corporation":false,"usgs":false,"family":"Simecek","given":"Martin","email":"","affiliations":[{"id":35216,"text":"Institute of Geology AS CR, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":715901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houska, Jakub","contributorId":198386,"corporation":false,"usgs":false,"family":"Houska","given":"Jakub","email":"","affiliations":[{"id":29875,"text":"Czech University of Life Sciences, Praha 6-Suchdol, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":715902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cudlin, Pavel","contributorId":198387,"corporation":false,"usgs":false,"family":"Cudlin","given":"Pavel","email":"","affiliations":[{"id":35217,"text":"Global Change Research Centre of the AS CR, v.v.i., Poříčí 3b, 60 300 Brno, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":715903,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70186879,"text":"70186879 - 2016 - CDMetaPOP: An individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics","interactions":[],"lastModifiedDate":"2017-11-22T17:38:20","indexId":"70186879","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"CDMetaPOP: An individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics","docAbstract":"1. Combining landscape demographic and genetics models offers powerful methods for addressing questions for eco-evolutionary applications.
2. Using two illustrative examples, we present Cost–Distance Meta-POPulation, a program to simulate changes in neutral and/or selection-driven genotypes through time as a function of individual-based movement, complex spatial population dynamics, and multiple and changing landscape drivers.
3. Cost–Distance Meta-POPulation provides a novel tool for questions in landscape genetics by incorporating population viability analysis, while linking directly to conservation applications.
Understanding environmental drivers of spatial patterns is an enduring ecological problem that is critical for effective biological conservation. Discontinuities (ecologically meaningful habitat breaks), both naturally occurring (e.g., river confluence, forest edge, drop-off) and anthropogenic (e.g., dams, roads), can influence the distribution of highly mobile organisms that have land- or seascape scale ranges. A geomorphic discontinuity framework, expanded to include ecological patterns, provides a way to incorporate important but irregularly distributed physical features into organism–environment relationships. Here, we test if migratory striped bass (Morone saxatilis) are consistently concentrated by spatial discontinuities and why. We quantified the distribution of 50 acoustically tagged striped bass at 40 sites within Plum Island Estuary, Massachusetts during four-monthly surveys relative to four physical discontinuities (sandbar, confluence, channel network, drop-off), one continuous physical feature (depth variation), and a geographic location variable (region). Despite moving throughout the estuary, striped bass were consistently clustered in the middle geographic region at sites with high sandbar area, close to channel networks, adjacent to complex confluences, with intermediate levels of bottom unevenness, and medium sized drop-offs. In addition, the highest striped bass concentrations occurred at sites with the greatest additive physical heterogeneity (i.e., where multiple discontinuities co-occurred). The need to incorporate irregularly distributed features in organism–environment relationships will increase as high-quality telemetry and GIS data accumulate for mobile organisms. The spatially explicit approach we used to address this challenge can aid both researchers who seek to understand the impact of predators on ecosystems and resource managers who require new approaches for biological conservation.
","language":"English","publisher":"ESA","doi":"10.1002/ecs2.1226","usgsCitation":"Kennedy, C., Mather, M.E., Smith, J.M., Finn, J.T., and Deegan, L.A., 2016, Discontinuities concentrate mobile predators: Quantifying organism-environment interactions at a seascape scale: Ecosphere, v. 7, no. 2, Article e01226; 17 p., https://doi.org/10.1002/ecs2.1226.","productDescription":"Article e01226; 17 p.","ipdsId":"IP-059506","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1226","text":"Publisher Index Page"},{"id":347507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-26","publicationStatus":"PW","scienceBaseUri":"5a07ea76e4b09af898c8cc8b","contributors":{"authors":[{"text":"Kennedy, Christina G.","contributorId":145646,"corporation":false,"usgs":false,"family":"Kennedy","given":"Christina G.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":716465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false},{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":716469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":716492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deegan, Linda A.","contributorId":34094,"corporation":false,"usgs":false,"family":"Deegan","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":716493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187720,"text":"70187720 - 2016 - Rapid environmental change drives increased land use by an Arctic marine predator","interactions":[],"lastModifiedDate":"2017-05-18T10:32:17","indexId":"70187720","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Rapid environmental change drives increased land use by an Arctic marine predator","docAbstract":"In the Arctic Ocean’s southern Beaufort Sea (SB), the length of the sea ice melt season (i.e., period between the onset of sea ice break-up in summer and freeze-up in fall) has increased substantially since the late 1990s. Historically, polar bears (Ursus maritimus) of the SB have mostly remained on the sea ice year-round (except for those that came ashore to den), but recent changes in the extent and phenology of sea ice habitat have coincided with evidence that use of terrestrial habitat is increasing. We characterized the spatial behavior of polar bears spending summer and fall on land along Alaska’s north coast to better understand the nexus between rapid environmental change and increased use of terrestrial habitat. We found that the percentage of radiocollared adult females from the SB subpopulation coming ashore has tripled over 15 years. Moreover, we detected trends of earlier arrival on shore, increased length of stay, and later departure back to sea ice, all of which were related to declines in the availability of sea ice habitat over the continental shelf and changes to sea ice phenology. Since the late 1990s, the mean duration of the open-water season in the SB increased by 36 days, and the mean length of stay on shore increased by 31 days. While on shore, the distribution of polar bears was influenced by the availability of scavenge subsidies in the form of subsistence-harvested bowhead whale (Balaena mysticetus) remains aggregated at sites along the coast. The declining spatio-temporal availability of sea ice habitat and increased availability of human-provisioned resources are likely to result in increased use of land. Increased residency on land is cause for concern given that, while there, bears may be exposed to a greater array of risk factors including those associated with increased human activities.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0155932","usgsCitation":"Atwood, T.C., Peacock, E.L., McKinney, M.A., Lillie, K., Wilson, R.H., Douglas, D.C., Miller, S., and Terletzky, P., 2016, Rapid environmental change drives increased land use by an Arctic marine predator: PLoS ONE, v. 6, no. 11, Article e0155932; 18 p., https://doi.org/10.1371/journal.pone.0155932.","productDescription":"Article e0155932; 18 p.","ipdsId":"IP-072257","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":471388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0155932","text":"Publisher Index Page"},{"id":341326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Southern Beaufort Sea","volume":"6","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-01","publicationStatus":"PW","scienceBaseUri":"591abe37e4b0a7fdb43c8bf7","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":695266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":695552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":695267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lillie, Kate","contributorId":148213,"corporation":false,"usgs":false,"family":"Lillie","given":"Kate","affiliations":[{"id":17117,"text":"Department of Wildland Resources, Utah State University, Logan","active":true,"usgs":false}],"preferred":false,"id":695268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":695269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":695270,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Terletzky, Pat","contributorId":192063,"corporation":false,"usgs":false,"family":"Terletzky","given":"Pat","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":695272,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Susanne","contributorId":50955,"corporation":false,"usgs":false,"family":"Miller","given":"Susanne","email":"","affiliations":[{"id":13235,"text":"U.S. Fish and Wildlife Service, Marine Mammals Management","active":true,"usgs":false}],"preferred":false,"id":695271,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189094,"text":"70189094 - 2016 - A comparison of helicopter-borne electromagnetic systems for hydrogeologic studies","interactions":[],"lastModifiedDate":"2017-06-29T15:02:55","indexId":"70189094","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1806,"text":"Geophysical Prospecting","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of helicopter-borne electromagnetic systems for hydrogeologic studies","docAbstract":"The increased application of airborne electromagnetic surveys to hydrogeological studies is driving a demand for data that can consistently be inverted for accurate subsurface resistivity structure from the near surface to depths of several hundred metres. We present an evaluation of three commercial airborne electromagnetic systems over two test blocks in western Nebraska, USA. The selected test blocks are representative of shallow and deep alluvial aquifer systems with low groundwater salinity and an electrically conductive base of aquifer. The aquifer units show significant lithologic heterogeneity and include both modern and ancient river systems. We compared the various data sets to one another and inverted resistivity models to borehole lithology and to ground geophysical models. We find distinct differences among the airborne electromagnetic systems as regards the spatial resolution of models, the depth of investigation, and the ability to recover near-surface resistivity variations. We further identify systematic biases in some data sets, which we attribute to incomplete or inexact calibration or compensation procedures.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2478.12262","usgsCitation":"Bedrosian, P.A., Schamper, C., and Auken, E., 2016, A comparison of helicopter-borne electromagnetic systems for hydrogeologic studies: Geophysical Prospecting, v. 64, no. 1, p. 192-215, https://doi.org/10.1111/1365-2478.12262.","productDescription":"24 p.","startPage":"192","endPage":"215","ipdsId":"IP-049361","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","volume":"64","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-29","publicationStatus":"PW","scienceBaseUri":"595611b7e4b0d1f9f0506768","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":702837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schamper, Cyril","contributorId":193990,"corporation":false,"usgs":false,"family":"Schamper","given":"Cyril","email":"","affiliations":[],"preferred":false,"id":702838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Auken, Esben","contributorId":193991,"corporation":false,"usgs":false,"family":"Auken","given":"Esben","email":"","affiliations":[],"preferred":false,"id":702839,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192009,"text":"70192009 - 2016 - Assessing the potential for rainbow trout reproduction in tributaries of the Mountain Fork River below Broken Bow Dam, southeastern Oklahoma","interactions":[],"lastModifiedDate":"2018-01-25T14:52:57","indexId":"70192009","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5603,"text":"e-Research Paper","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"SRS–58","title":"Assessing the potential for rainbow trout reproduction in tributaries of the Mountain Fork River below Broken Bow Dam, southeastern Oklahoma","docAbstract":"Stocked trout (Salmonidae) in reservoir tailwater systems in the Southern United States have been shown to use tributary streams for spawning and rearing. The lower Mountain Fork of the Little River below Broken Bow Dam is one of two year-round tailwater trout fisheries in Oklahoma, and the only one with evidence of reproduction by stocked rainbow trout (Oncorhynchus mykiss). Whether stocked trout use tributaries in this system for spawning is unknown. Furthermore, an\ninventory of the resident fish communities in these tributaries is lacking. To address these gaps, we surveyed 10 tributaries, from intermittent through third order, for fishes during presumed spawning periods of rainbow trout; we used backpack electrofishing in February and April 2015 and 2016 to determine the composition of the fish assemblages and whether trout were present. Stocked adult trout were found in three tributaries in 2015; wild juvenile rainbow trout were found in Bee Branch in 2015 and in an intermittent tributary of Spillway Creek, just above the “Cold Hole,” in 2016. Fish assemblages were dominated by highland stonerollers (Campostoma spadiceum) in larger, wider systems and by orangebelly darters (Etheostoma radiosum) in smaller, narrower streams. These data fill an information gap in our understanding of small streams in the Ouachita Mountains, and they demonstrate that some streams are suitable for rainbow trout reproduction.","language":"English","publisher":"U.S. Department of Agriculture","usgsCitation":"Long, J.M., Starks, T.A., Farling, T., and Bastarache, R., 2016, Assessing the potential for rainbow trout reproduction in tributaries of the Mountain Fork River below Broken Bow Dam, southeastern Oklahoma: e-Research Paper SRS–58, 11 p.","productDescription":"11 p.","ipdsId":"IP-077629","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350627,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.srs.fs.usda.gov/pubs/rp/rp_srs058.pdf"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Mountain Fork River","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac5e4b06e28e9c9a8fa","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":713836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starks, Trevor A.","contributorId":145640,"corporation":false,"usgs":false,"family":"Starks","given":"Trevor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farling, Tyler","contributorId":201482,"corporation":false,"usgs":false,"family":"Farling","given":"Tyler","email":"","affiliations":[],"preferred":false,"id":725832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bastarache, Robert","contributorId":145764,"corporation":false,"usgs":false,"family":"Bastarache","given":"Robert","email":"","affiliations":[],"preferred":false,"id":725833,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190262,"text":"70190262 - 2016 - The potential carbon benefit of reforesting Hawai‘i Island non-native grasslands with endemic Acacia koa trees","interactions":[],"lastModifiedDate":"2017-08-23T08:02:42","indexId":"70190262","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"The potential carbon benefit of reforesting Hawai‘i Island non-native grasslands with endemic Acacia koa trees","docAbstract":"Large areas of forest in the tropics have been cleared and converted to pastureland. Hawai‘i Island is no exception, with over 100,000 ha of historically forested land now dominated by non-native grasses. Passive forest restoration has been unsuccessful because these grasslands tend to persist even after grazers have been removed, yet active outplanting of native tree species can be cost-prohibitive at the landscape scale. It is therefore essential to seek co-benefits of forest restoration to defray costs, such as accredited carbon offsets from increased carbon sequestration. We developed a reforestation scenario for non-native grasslands on Hawai‘i Island by outplanting endemic koa (Acacia koa) trees paid for with carbon offsets via the California Cap and Trade Program. This scenario entails reforesting 53,531 ha of non-native grassland at 2500 ha y-1 over 22 years. We estimated planting costs at \\$6,178 ha-1, a total cost of approximately \\$331,000,000. We used the Land Use and Carbon Simulator (LUCAS) model to estimate island-wide ecosystem carbon sequestration with and without koa reforestation using 100 Monte Carlo simulations per year over a 60-year period. Income from carbon offsets was set at \\$13.57 per ton of CO2 equivalent, the current California Cap and Trade Program carbon market price.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Acacia koa in Hawaiʻi: Facing the future: 2016 Koa symposium proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Acacia koa in Hawaiʻi: Facing the Future","conferenceDate":"October 5, 2016","conferenceLocation":"Hilo, HI","language":"English","publisher":"Tropical Hardwood Tree Improvement and Regeneration Center","usgsCitation":"Selmants, P., Sleeter, B.M., Koch, N., and Friday, J.B., 2016, The potential carbon benefit of reforesting Hawai‘i Island non-native grasslands with endemic Acacia koa trees, in Acacia koa in Hawaiʻi: Facing the future: 2016 Koa symposium proceedings, Hilo, HI, October 5, 2016, p. 54-55.","productDescription":"2 p.","startPage":"54","endPage":"55","ipdsId":"IP-090079","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":345038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345037,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ctahr.hawaii.edu/forestry/trees/koa_2016.html"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Island of Hawai'i","publicComments":"Extended abstract.","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9449e4b04935557fe9d7","contributors":{"editors":[{"text":"Ohara, Rebekah Dickens","contributorId":34016,"corporation":false,"usgs":false,"family":"Ohara","given":"Rebekah","email":"","middleInitial":"Dickens","affiliations":[],"preferred":false,"id":708241,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Friday, James B.","contributorId":195791,"corporation":false,"usgs":false,"family":"Friday","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":33500,"text":"University of Hawai`i at Manoa","active":true,"usgs":false}],"preferred":false,"id":708242,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Selmants, Paul C. 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":192591,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul","email":"pselmants@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":708201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":708202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Nicholas","contributorId":195790,"corporation":false,"usgs":false,"family":"Koch","given":"Nicholas","email":"","affiliations":[{"id":34387,"text":"Forest Solutions, Inc.","active":true,"usgs":false}],"preferred":false,"id":708203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friday, James B.","contributorId":195791,"corporation":false,"usgs":false,"family":"Friday","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":33500,"text":"University of Hawai`i at Manoa","active":true,"usgs":false}],"preferred":false,"id":708204,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191370,"text":"70191370 - 2016 - Measuring the impact of invasive species on popular culture: a case study based on toy turtles from Japan","interactions":[],"lastModifiedDate":"2017-10-10T16:24:46","indexId":"70191370","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5511,"text":"Humans and Nature","active":true,"publicationSubtype":{"id":10}},"title":"Measuring the impact of invasive species on popular culture: a case study based on toy turtles from Japan","docAbstract":"The red-eared slider turtle (Trachemys scripta elegans) is native to portions of the United States of America (USA) and adjacent northeastern Mexico. The bright and colorful hatchlings have long been popular as pets globally but numerous individuals have been released into the wild establishing populations in areas well outside their native range. As a result, slider turtles are now introduced worldwide on all continents, with the exception of Antarctica, and many temperate and tropical islands, including Japan. They are very successful at establishing breeding populations in a variety of habitats, even those in proximity to human development. Once established in large populations, they compete with native turtle species sometimes to the detriment of the latter. Tin toy turtles were popular in Japan for decades, and they were an important export item after World War II. From the 1920s to the 1950s, prior to the widespread establishment of slider populations in Japan, the toys were characterized by muted earth-tone colors representative of native species of Japanese turtles. After the 1950s, toy turtles exhibited brighter combinations of yellow, red and green more typical of slider turtles. This transition may reflect demand for more colorful toys by importing countries like the USA. Alternatively, the change was coincident with the importation of large numbers of colorful slider turtles to Japan via the pet trade and their subsequent establishment and numerical dominance in Japanese wetlands. This switch in toy turtle colors may reflect a cultural transition in awareness of what constitutes the appearance of a typical turtle in Japan. Sliders appear to have been accepted by Japanese consumers as a new cultural norm in the appearance of turtles, a case of art imitating life.
","language":"English","issn":"0918-1725","usgsCitation":"Lovich, J.E., and Yamamoto, K., 2016, Measuring the impact of invasive species on popular culture: a case study based on toy turtles from Japan: Humans and Nature, v. 27, p. 1-11.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-069307","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":346477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59dddc0be4b05fe04ccd05d5","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":712120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yamamoto, Katsuya","contributorId":196968,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Katsuya","email":"","affiliations":[],"preferred":false,"id":712121,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048652,"text":"70048652 - 2016 - By-products of porphyry copper and molybdenum deposits","interactions":[],"lastModifiedDate":"2022-12-29T15:36:53.359262","indexId":"70048652","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"By-products of porphyry copper and molybdenum deposits","docAbstract":"Porphyry Cu and porphyry Mo deposits are large to giant deposits ranging up to >20 and 1.6 Gt of ore, respectively, that supply about 60 and 95% of the world’s copper and molybdenum, as well as significant amounts of gold and silver. These deposits form from hydrothermal systems that affect 10s to >100 km3 of the upper crust and result in enormous mass redistribution and potential concentration of many elements.
Several critical elements, including Re, Se, and Te, which lack primary ores, are concentrated locally in some porphyry Cu deposits, and despite their low average concentrations in Cu-Mo-Au ores (100s of ppb to a few ppm), about 80% of the Re and nearly all of the Se and Te produced by mining is from porphyry Cu deposits.
Rhenium is concentrated in molybdenite, whose Re content varies from about 100 to 3,000 ppm in porphyry Cu deposits, ≤150 ppm in arc-related porphyry Mo deposits, and ≤35 ppm in alkali-feldspar rhyolite-granite (Climax-type) porphyry Mo deposits. Because of the relatively small size of porphyry Mo deposits compared to porphyry Cu deposits and the generally low Re contents of molybdenites in them, rhenium is not recovered from porphyry Mo deposits. The potential causes of the variation in Re content of molybdenites in porphyry deposits are numerous and complex, and this variation is likely the result of a combination of processes that may change between and within deposits. These processes range from variations in source and composition of parental magmas to physiochemical changes in the shallow hydrothermal environment. Because of the immense size of known and potential porphyry Cu resources, especially continental margin arc deposits, these deposits likely will provide most of the global supply of Re, Te, and Se for the foreseeable future.
Although Pd and lesser Pt are recovered from some deposits, platinum group metals are not strongly enriched in porphyry Cu deposits and PGM resources contained in known porphyry deposits are small. Because there are much larger known PGM resources in deposits in which PGMs are the primary commodities, it is unlikely that porphyry deposits will become a major source of PGMs.
Other critical commodities, such as In and Nb, may eventually be recovered from porphyry Cu and Mo deposits, but available data do not clearly define significant resources of these commodities in porphyry deposits. Although alkali-feldspar rhyolite-granite porphyry Mo deposits and their cogenetic intrusions are locally enriched in many rare metals (such as Li, Nb, Rb, Sn, Ta, and REEs) and minor amounts of REEs and Sn have been recovered from the Climax mine, these elements are generally found in uneconomic concentrations.
As global demand increases for critical elements that are essential for the modern world, porphyry deposits will play an increasingly important role as suppliers of some of these metals. The affinity of these metals and the larger size and greater number of porphyry Cu deposits suggest that they will remain more significant than porphyry Mo deposits in supplying many of these critical metals.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rare earth and critical elements in ore deposits","largerWorkSubtype":{"id":15,"text":"Monograph"},"publisher":"Society of Economic Geologists","doi":"10.5382/Rev.18.07","usgsCitation":"John, D.A., and Taylor, R.D., 2016, By-products of porphyry copper and molybdenum deposits, chap. 7 of Rare earth and critical elements in ore deposits, v. 18, p. 137-164, https://doi.org/10.5382/Rev.18.07.","productDescription":"28 p.","startPage":"137","endPage":"164","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050834","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":355932,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fca44e4b0f5d57878ec95","contributors":{"editors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":740796,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hitzman, Murray W. 0000-0002-3876-0537 mhitzman@usgs.gov","orcid":"https://orcid.org/0000-0002-3876-0537","contributorId":200913,"corporation":false,"usgs":true,"family":"Hitzman","given":"Murray","email":"mhitzman@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":740797,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":518222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":518223,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185995,"text":"70185995 - 2016 - A review of single-sample-based models and other approaches for radiocarbon dating of dissolved inorganic carbon in groundwater","interactions":[],"lastModifiedDate":"2017-03-30T11:21:50","indexId":"70185995","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A review of single-sample-based models and other approaches for radiocarbon dating of dissolved inorganic carbon in groundwater","docAbstract":"Numerous methods have been proposed to estimate the pre-nuclear-detonation 14C content of dissolved inorganic carbon (DIC) recharged to groundwater that has been corrected/adjusted for geochemical processes in the absence of radioactive decay (14C0) - a quantity that is essential for estimation of radiocarbon age of DIC in groundwater. The models/approaches most commonly used are grouped as follows: (1) single-sample-based models, (2) a statistical approach based on the observed (curved) relationship between 14C and δ13C data for the aquifer, and (3) the geochemical mass-balance approach that constructs adjustment models accounting for all the geochemical reactions known to occur along a groundwater flow path. This review discusses first the geochemical processes behind each of the single-sample-based models, followed by discussions of the statistical approach and the geochemical mass-balance approach. Finally, the applications, advantages and limitations of the three groups of models/approaches are discussed.
The single-sample-based models constitute the prevailing use of 14C data in hydrogeology and hydrological studies. This is in part because the models are applied to an individual water sample to estimate the 14C age, therefore the measurement data are easily available. These models have been shown to provide realistic radiocarbon ages in many studies. However, they usually are limited to simple carbonate aquifers and selection of model may have significant effects on 14C0 often resulting in a wide range of estimates of 14C ages.
Of the single-sample-based models, four are recommended for the estimation of 14C0 of DIC in groundwater: Pearson's model, (Ingerson and Pearson, 1964; Pearson and White, 1967), Han & Plummer's model (Han and Plummer, 2013), the IAEA model (Gonfiantini, 1972; Salem et al., 1980), and Oeschger's model (Geyh, 2000). These four models include all processes considered in single-sample-based models, and can be used in different ranges of 13C values.
In contrast to the single-sample-based models, the extended Gonfiantini & Zuppi model (Gonfiantini and Zuppi, 2003; Han et al., 2014) is a statistical approach. This approach can be used to estimate 14C ages when a curved relationship between the 14C and 13C values of the DIC data is observed. In addition to estimation of groundwater ages, the relationship between 14C and δ13C data can be used to interpret hydrogeological characteristics of the aquifer, e.g. estimating apparent rates of geochemical reactions and revealing the complexity of the geochemical environment, and identify samples that are not affected by the same set of reactions/processes as the rest of the dataset. The investigated water samples may have a wide range of ages, and for waters with very low values of 14C, the model based on statistics may give more reliable age estimates than those obtained from single-sample-based models. In the extended Gonfiantini & Zuppi model, a representative system-wide value of the initial 14C content is derived from the 14C and δ13C data of DIC and can differ from that used in single-sample-based models. Therefore, the extended Gonfiantini & Zuppi model usually avoids the effect of modern water components which might retain ‘bomb’ pulse signatures.
The geochemical mass-balance approach constructs an adjustment model that accounts for all the geochemical reactions known to occur along an aquifer flow path (Plummer et al., 1983; Wigley et al., 1978; Plummer et al., 1994; Plummer and Glynn, 2013), and includes, in addition to DIC, dissolved organic carbon (DOC) and methane (CH4). If sufficient chemical, mineralogical and isotopic data are available, the geochemical mass-balance method can yield the most accurate estimates of the adjusted radiocarbon age. The main limitation of this approach is that complete information is necessary on chemical, mineralogical and isotopic data and these data are often limited.
Failure to recognize the limitations and underlying assumptions on which the various models and approaches are based can result in a wide range of estimates of 14C0 and limit the usefulness of radiocarbon as a dating tool for groundwater. In each of the three generalized approaches (single-sample-based models, statistical approach, and geochemical mass-balance approach), successful application depends on scrutiny of the isotopic (14C and 13C) and chemical data to conceptualize the reactions and processes that affect the 14C content of DIC in aquifers. The recently developed graphical analysis method is shown to aid in determining which approach is most appropriate for the isotopic and chemical data from a groundwater system.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2015.11.004","usgsCitation":"Han, L.F., and Plummer, N., 2016, A review of single-sample-based models and other approaches for radiocarbon dating of dissolved inorganic carbon in groundwater: Earth-Science Reviews, v. 152, p. 119-142, https://doi.org/10.1016/j.earscirev.2015.11.004.","productDescription":"24 p.","startPage":"119","endPage":"142","ipdsId":"IP-068009","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"152","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca7","contributors":{"authors":[{"text":"Han, L. F","contributorId":190101,"corporation":false,"usgs":false,"family":"Han","given":"L.","email":"","middleInitial":"F","affiliations":[],"preferred":false,"id":687282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156652,"text":"70156652 - 2016 - Forest structure of oak plantations after silvicultural treatment to enhance habitat for wildlife","interactions":[],"lastModifiedDate":"2017-03-06T14:13:16","indexId":"70156652","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Forest structure of oak plantations after silvicultural treatment to enhance habitat for wildlife","docAbstract":"During the past 30 years, thousands of hectares of oak-dominated bottomland hardwood plantations have been planted on agricultural fields in the Mississippi Alluvial Valley. Many of these plantations now have closed canopies and sparse understories. Silvicultural treatments could create a more heterogeneous forest structure, with canopy gaps and increased understory vegetation for wildlife. Lack of volume sufficient for commercial harvest in hardwood plantations has impeded treatments, but demand for woody biomass for energy production may provide a viable means to introduce disturbance beneficial for wildlife. We assessed forest structure in response to prescribed pre-commercial perturbations in hardwood plantations resulting from silvicultural treatments: 1) row thinning by felling every fourth planted row; 2) multiple patch cuts with canopy gaps of <1 0.25 – 2 ha; and 3) tree removal on intersecting corridors diagonal to planted rows. These 3 treatments, and an untreated control, were applied to oak plantations (20 - 30 years post-planting) on three National Wildlife Refuges (Cache River, AR; Grand Cote, LA; and Yazoo, MS) during summer 2010. We sampled habitat using fixed-radius plots in 2009 (pre-treatment) and in 2012 (post-treatment) at random locations. Retained basal area was least in diagonal corridor treatments but had greater variance in patch-cut treatments. All treatments increased canopy openness and the volume of coarse woody debris. Occurrence of birds using early successional habitats was greater on sites treated with patch cuts and diagonal intersections. Canopy openings on row-thinned stands are being filled by lateral crown growth of retained trees whereas patch cut and diagonal intersection gaps appear likely to be filled by regenerating saplings.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 18th Biennial Southern Silvicultural Research Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"18th Biennial Southern Silvicultural Research Conference","language":"English","publisher":"USDA Forest Service, Southern Research Station","usgsCitation":"Twedt, D.J., Phillip, C.P., Guilfoyle, M.P., and Wilson, R.R., 2016, Forest structure of oak plantations after silvicultural treatment to enhance habitat for wildlife, in Proceedings of the 18th Biennial Southern Silvicultural Research Conference, p. 113-121.","productDescription":"9 p.","startPage":"113","endPage":"121","ipdsId":"IP-065562","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":336884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58be833be4b014cc3a3a99ed","contributors":{"editors":[{"text":"Schweitzer, Callie Jo","contributorId":172250,"corporation":false,"usgs":false,"family":"Schweitzer","given":"Callie","email":"","middleInitial":"Jo","affiliations":[],"preferred":false,"id":680817,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Clatterbuck, Wayne K.","contributorId":172251,"corporation":false,"usgs":false,"family":"Clatterbuck","given":"Wayne","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":680818,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Oswalt, Christopher M.","contributorId":172252,"corporation":false,"usgs":false,"family":"Oswalt","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":680819,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":569808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillip, Cherrie-Lee P.","contributorId":146996,"corporation":false,"usgs":false,"family":"Phillip","given":"Cherrie-Lee","email":"","middleInitial":"P.","affiliations":[{"id":16769,"text":"Natural Resource Specialist, U.S Army Corps of Engineers, Hords Creek Lake, 230 Friendship Park Rd, Coleman, TX 76834","active":true,"usgs":false}],"preferred":false,"id":569809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guilfoyle, Michael P.","contributorId":113717,"corporation":false,"usgs":true,"family":"Guilfoyle","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":569810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, R. Randy","contributorId":100287,"corporation":false,"usgs":true,"family":"Wilson","given":"R.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":569811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175412,"text":"70175412 - 2016 - Coral calcification and ocean acidification","interactions":[],"lastModifiedDate":"2016-08-31T11:08:38","indexId":"70175412","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coral calcification and ocean acidification","docAbstract":"Over 60 years ago, the discovery that light increased calcification in the coral plant-animal symbiosis triggered interest in explaining the phenomenon and understanding the mechanisms involved. Major findings along the way include the observation that carbon fixed by photosynthesis in the zooxanthellae is translocated to animal cells throughout the colony and that corals can therefore live as autotrophs in many situations. Recent research has focused on explaining the observed reduction in calcification rate with increasing ocean acidification (OA). Experiments have shown a direct correlation between declining ocean pH, declining aragonite saturation state (Ωarag), declining [CO32_] and coral calcification. Nearly all previous reports on OA identify Ωarag or its surrogate [CO32] as the factor driving coral calcification. However, the alternate “Proton Flux Hypothesis” stated that coral calcification is controlled by diffusion limitation of net H+ transport through the boundary layer in relation to availability of dissolved inorganic carbon (DIC). The “Two Compartment Proton Flux Model” expanded this explanation and synthesized diverse observations into a universal model that explains many paradoxes of coral metabolism, morphology and plasticity of growth form in addition to observed coral skeletal growth response to OA. It is now clear that irradiance is the main driver of net photosynthesis (Pnet), which in turn drives net calcification (Gnet), and alters pH in the bulk water surrounding the coral. Pnet controls [CO32] and thus Ωarag of the bulk water over the diel cycle. Changes in Ωarag and pH lag behind Gnet throughout the daily cycle by two or more hours. The flux rate Pnet, rather than concentration-based parameters (e.g., Ωarag, [CO3 2], pH and [DIC]:[H+] ratio) is the primary driver of Gnet. Daytime coral metabolism rapidly removes DIC from the bulk seawater. Photosynthesis increases the bulk seawater pH while providing the energy that drives calcification and increases in Gnet. These relationships result in a correlation between Gnet and Ωarag, with both parameters being variables dependent on Pnet. Consequently the correlation between Gnet and Ωarag varies widely between different locations and times depending on the relative metabolic contributions of various calcifying and photosynthesizing organisms and local rates of carbonate dissolution. High rates of H+ efflux continue for several hours following the mid-day Gnet peak suggesting that corals have difficulty in shedding waste protons as described by the Proton Flux Model. DIC flux (uptake) tracks Pnet and Gnet and drops off rapidly after the photosynthesis-calcification maxima, indicating that corals can cope more effectively with the problem of limited DIC supply compared to the problem of eliminating H+. Predictive models of future global changes in coral and coral reef growth based on oceanic Ωarag must include the influence of future changes in localized Pnet on Gnet as well as changes in rates of reef carbonate dissolution. The correlation between Ωarag and Gnet over the diel cycle is simply the result of increasing pH due to photosynthesis that shifts the CO2-carbonate system equilibria to increase [CO32] relative to the other DIC components of [HCO3] and [CO2]. Therefore Ωarag closely tracks pH as an effect of Pnet, which also drives changes in Gnet. Measurements of DIC flux and H+ flux are far more useful than concentrations in describing coral metabolism dynamics. Coral reefs are systems that exist in constant disequilibrium with the water column.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coral reefs at the crossroads","language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-94-017-7567-0","collaboration":"Paul L. Jokiel and Christopher P. Jury, Hawaii Institute of Marine Biology, University of Hawaii","usgsCitation":"Jokiel, P.L., Jury, C.P., and Kuffner, I.B., 2016, Coral calcification and ocean acidification, chap. of Coral reefs at the crossroads, v. 6, p. 7-45, https://doi.org/10.1007/978-94-017-7567-0.","productDescription":"29 p.","startPage":"7","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049232","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":328107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb0e4b0f2f0cebfc229","contributors":{"authors":[{"text":"Jokiel, Paul L.","contributorId":131043,"corporation":false,"usgs":false,"family":"Jokiel","given":"Paul","email":"","middleInitial":"L.","affiliations":[{"id":7212,"text":"University of Hawai‘i, Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":645113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jury, Christopher P.","contributorId":173575,"corporation":false,"usgs":false,"family":"Jury","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":20314,"text":"Hawaii Institute of Marine Biology, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":645114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":645112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182743,"text":"70182743 - 2016 - Stronger or longer: Discriminating between Hawaiian and Strombolian eruption styles","interactions":[],"lastModifiedDate":"2017-11-03T18:33:48","indexId":"70182743","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Stronger or longer: Discriminating between Hawaiian and Strombolian eruption styles","docAbstract":"The weakest explosive volcanic eruptions globally, Strombolian explosions and Hawaiian fountaining, are also the most common. Yet, despite over a hundred years of observations, no classifications have offered a convincing, quantitative way of demarcating these two styles. New observations show that the two styles are distinct in their eruptive timescale, with the duration of Hawaiian fountaining exceeding Strombolian explosions by about 300 to 10,000 seconds. This reflects the underlying process of whether shallow-exsolved gas remains trapped in the erupting magma or whether it is decoupled from it. We propose here a classification scheme based on the duration of events (brief explosions versus prolonged fountains) with a cutoff at 300 seconds that separates transient Strombolian explosions from sustained Hawaiian fountains.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G37423.1","usgsCitation":"Houghton, B.F., Taddeucci, J., Andronico, D., Gonnerman, H., Pistolesi, M., Patrick, M.R., Orr, T.R., Swanson, D., Edmonds, M., Carey, R.J., and Scarlato, P., 2016, Stronger or longer: Discriminating between Hawaiian and Strombolian eruption styles: Geology, v. 44, no. 2, p. 163-166, https://doi.org/10.1130/G37423.1.","productDescription":"4 p. ","startPage":"163","endPage":"166","ipdsId":"IP-070802","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471369,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11568/903109","text":"External Repository"},{"id":336328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-07","publicationStatus":"PW","scienceBaseUri":"58b69a41e4b01ccd54ff3fa0","contributors":{"authors":[{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":673539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taddeucci, Jacopo 0000-0002-0516-3699","orcid":"https://orcid.org/0000-0002-0516-3699","contributorId":184101,"corporation":false,"usgs":false,"family":"Taddeucci","given":"Jacopo","email":"","affiliations":[],"preferred":false,"id":673540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andronico, D.","contributorId":176191,"corporation":false,"usgs":false,"family":"Andronico","given":"D.","affiliations":[],"preferred":false,"id":673544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonnerman, H","contributorId":184102,"corporation":false,"usgs":false,"family":"Gonnerman","given":"H","email":"","affiliations":[],"preferred":false,"id":673541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pistolesi, M","contributorId":184103,"corporation":false,"usgs":false,"family":"Pistolesi","given":"M","email":"","affiliations":[],"preferred":false,"id":673542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":673543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":673545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":673546,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edmonds, M","contributorId":184104,"corporation":false,"usgs":false,"family":"Edmonds","given":"M","affiliations":[],"preferred":false,"id":673547,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Carey, Rebecca J.","contributorId":145530,"corporation":false,"usgs":false,"family":"Carey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":673548,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scarlato, P.","contributorId":176195,"corporation":false,"usgs":false,"family":"Scarlato","given":"P.","affiliations":[],"preferred":false,"id":673549,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70171558,"text":"70171558 - 2016 - Acadia National Park Climate Change Scenario Planning Workshop summary","interactions":[],"lastModifiedDate":"2020-07-27T18:57:50.841175","indexId":"70171558","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Acadia National Park Climate Change Scenario Planning Workshop summary","docAbstract":"This report summarizes outcomes from a two-day scenario planning workshop for Acadia National Park, Maine (ACAD). The primary objective of the workshop was to help ACAD senior leadership make management and planning decisions based on up-to-date climate science and assessments of future uncertainty. The workshop was also designed as a training program, helping build participants' capabilities to develop and use scenarios. The details of the workshop are given in later sections. The climate scenarios presented here are based on published global climate model output. The scenario implications for resources and management decisions are based on expert knowledge distilled through scientist-manager interaction during workgroup break-out sessions at the workshop. Thus, the descriptions below are from these small-group discussions in a workshop setting and should not be taken as vetted research statements of responses to the climate scenarios, but rather as insights and examinations of possible futures (Martin et al. 2011, McBride et al. 2012).
","conferenceTitle":"Acadia National Park Climate Change Scenario Planning Workshop","conferenceDate":"October 5-6, 2015","conferenceLocation":"Acadia National Park, ME","language":"English","publisher":"National Park Service","usgsCitation":"Star, J., Fisichelli, N., Bryan, A., Babson, A., Cole-Will, R., and Miller-Rushing, A., 2016, Acadia National Park Climate Change Scenario Planning Workshop summary, Acadia National Park Climate Change Scenario Planning Workshop, Acadia National Park, ME, October 5-6, 2015, 50 p.","productDescription":"50 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075377","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":324103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324102,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/subjects/climatechange/acadiaworkshop.htm"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a652fe4b07657d1a11ceb","contributors":{"authors":[{"text":"Star, Jonathan","contributorId":168823,"corporation":false,"usgs":false,"family":"Star","given":"Jonathan","email":"","affiliations":[{"id":25365,"text":"Scenario Insight","active":true,"usgs":false}],"preferred":false,"id":631780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisichelli, Nicholas","contributorId":168824,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","affiliations":[{"id":25366,"text":"National Park Service, Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":631781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryan, Alexander 0000-0003-2040-7636 abryan@usgs.gov","orcid":"https://orcid.org/0000-0003-2040-7636","contributorId":168822,"corporation":false,"usgs":true,"family":"Bryan","given":"Alexander","email":"abryan@usgs.gov","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":631779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Babson, Amanda","contributorId":168825,"corporation":false,"usgs":false,"family":"Babson","given":"Amanda","email":"","affiliations":[{"id":25367,"text":"National Park Service, Northeast Region","active":true,"usgs":false}],"preferred":false,"id":631782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole-Will, Rebecca","contributorId":168826,"corporation":false,"usgs":false,"family":"Cole-Will","given":"Rebecca","email":"","affiliations":[{"id":25368,"text":"National Park Service, Acadia National Park","active":true,"usgs":false}],"preferred":false,"id":631783,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller-Rushing, Abraham J.","contributorId":103561,"corporation":false,"usgs":true,"family":"Miller-Rushing","given":"Abraham J.","affiliations":[],"preferred":false,"id":631784,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70169911,"text":"70169911 - 2016 - Modeling abundance using hierarchical distance sampling","interactions":[],"lastModifiedDate":"2016-04-24T11:23:06","indexId":"70169911","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Modeling abundance using hierarchical distance sampling","docAbstract":"In this chapter, we provide an introduction to classical distance sampling ideas for point and line transect data, and for continuous and binned distance data. We introduce the conditional and the full likelihood, and we discuss Bayesian analysis of these models in BUGS using the idea of data augmentation, which we discussed in Chapter 7. We then extend the basic ideas to the problem of hierarchical distance sampling (HDS), where we have multiple point or transect sample units in space (or possibly in time). The benefit of HDS in practice is that it allows us to directly model spatial variation in population size among these sample units. This is a preeminent concern of most field studies that use distance sampling methods, but it is not a problem that has received much attention in the literature. We show how to analyze HDS models in both the unmarked package and in the BUGS language for point and line transects, and for continuous and binned distance data. We provide a case study of HDS applied to a survey of the island scrub-jay on Santa Cruz Island, California.
","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-801378-6.00009-6","collaboration":"Marc Kery, Swiss Ornithological Institute","usgsCitation":"Royle, A., and Kery, M., 2016, Modeling abundance using hierarchical distance sampling, p. 393-461, https://doi.org/10.1016/B978-0-12-801378-6.00009-6.","productDescription":"69 p.","startPage":"393","endPage":"461","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066805","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":320462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319596,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/B9780128013786000084"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571dee2be4b071321fe56409","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":625576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kery, Marc","contributorId":168361,"corporation":false,"usgs":false,"family":"Kery","given":"Marc","affiliations":[{"id":12551,"text":"Swiss Ornithological Institute, Sempach, Switzerland","active":true,"usgs":false}],"preferred":false,"id":625577,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187256,"text":"70187256 - 2016 - Louisiana waterthrush and benthic macroinvertebrate response to shale gas development","interactions":[],"lastModifiedDate":"2017-04-27T11:39:11","indexId":"70187256","displayToPublicDate":"2016-01-01T00:00:00","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":"Louisiana waterthrush and benthic macroinvertebrate response to shale gas development","docAbstract":"Because shale gas development is occurring over large landscapes and consequently is affecting many headwater streams, an understanding of its effects on headwater-stream faunal communities is needed. We examined effects of shale gas development (well pads and associated infrastructure) on Louisiana waterthrush Parkesia motacilla and benthic macroinvertebrate communities in 12 West Virginia headwater streams in 2011. Streams were classed as impacted (n = 6) or unimpacted (n = 6) by shale gas development. We quantified waterthrush demography (nest success, clutch size, number of fledglings, territory density), a waterthrush Habitat Suitability Index, a Rapid Bioassessment Protocol habitat index, and benthic macroinvertebrate metrics including a genus-level stream-quality index for each stream. We compared each benthic metric between impacted and unimpacted streams with a Student's t-test that incorporated adjustments for normalizing data. Impacted streams had lower genus-level stream-quality index scores; lower overall and Ephemeroptera, Plecoptera, and Trichoptera richness; fewer intolerant taxa, more tolerant taxa, and greater density of 0–3-mm individuals (P ≤ 0.10). We then used Pearson correlation to relate waterthrush metrics to benthic metrics across the 12 streams. Territory density (no. of territories/km of stream) was greater on streams with higher genus-level stream-quality index scores; greater density of all taxa and Ephemeroptera, Plecoptera, and Trichoptera taxa; and greater biomass. Clutch size was greater on streams with higher genus-level stream-quality index scores. Nest survival analyses (n = 43 nests) completed with Program MARK suggested minimal influence of benthic metrics compared with nest stage and Habitat Suitability Index score. Although our study spanned only one season, our results suggest that shale gas development affected waterthrush and benthic communities in the headwater streams we studied. Thus, these ecological effects of shale gas development warrant closer examination.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/092015-JFWM-084","usgsCitation":"Wood, P., Frantz, M.W., and Becker, D.A., 2016, Louisiana waterthrush and benthic macroinvertebrate response to shale gas development: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 423-433, https://doi.org/10.3996/092015-JFWM-084.","productDescription":"11 p.","startPage":"423","endPage":"433","ipdsId":"IP-066368","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":490023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092015-jfwm-084","text":"Publisher Index Page"},{"id":340503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":" Lewis Wetzel Wildlife Management Area","volume":"7","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-01","publicationStatus":"PW","scienceBaseUri":"59030326e4b0e862d230f72b","contributors":{"authors":[{"text":"Wood, Petra pbwood@usgs.gov","contributorId":169812,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":693114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frantz, Mack W.","contributorId":191486,"corporation":false,"usgs":false,"family":"Frantz","given":"Mack","email":"","middleInitial":"W.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":693208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Becker, Douglas A.","contributorId":169852,"corporation":false,"usgs":false,"family":"Becker","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693209,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194819,"text":"70194819 - 2016 - 2015-2016 Palila abundance estimates","interactions":[],"lastModifiedDate":"2018-01-02T14:16:36","indexId":"70194819","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-TR076","title":"2015-2016 Palila abundance estimates","docAbstract":"The palila (Loxioides bailleui) population was surveyed annually during 1998−2016 on Mauna Kea Volcano to determine abundance, population trend, and spatial distribution. In the latest surveys, the 2015 population was estimated at 852−1,406 birds (point estimate: 1,116) and the 2016 population was estimated at 1,494−2,385 (point estimate: 1,934). Similar numbers of palila were detected during the first and subsequent counts within each year during 2012−2016; the proportion of the total annual detections in each count ranged from 46% to 56%; and there was no difference in the detection probability due to count sequence. Furthermore, conducting repeat counts improved the abundance estimates by reducing the width of the confidence intervals between 9% and 32% annually. This suggests that multiple counts do not affect bird or observer behavior and can be continued in the future to improve the precision of abundance estimates. Five palila were detected on supplemental survey stations in the Ka‘ohe restoration area, outside the core survey area but still within Palila Critical Habitat (one in 2015 and four in 2016), suggesting that palila are present in habitat that is recovering from cattle grazing on the southwest slope. The average rate of decline during 1998−2016 was 150 birds per year. Over the 18-year monitoring period, the estimated rate of change equated to a 58% decline in the population.
","language":"English","publisher":"University of Hawai'i at Hilo","usgsCitation":"Camp, R., Brinck, K., and Banko, P.C., 2016, 2015-2016 Palila abundance estimates: Technical Report HCSU-TR076, 15 p.","productDescription":"15 p.","ipdsId":"IP-076248","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":350277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350276,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dspace.lib.hawaii.edu/handle/10790/2750"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd87e4b06e28e9c24fa2","contributors":{"authors":[{"text":"Camp, Richard J. rick_camp@usgs.gov","contributorId":2952,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","email":"rick_camp@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":725394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":3847,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","email":"kbrinck@usgs.gov","affiliations":[],"preferred":false,"id":725395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":725396,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160493,"text":"70160493 - 2016 - Integrated groundwater data management","interactions":[],"lastModifiedDate":"2017-04-17T14:45:30","indexId":"70160493","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Integrated groundwater data management","docAbstract":"The goal of a data manager is to ensure that data is safely stored, adequately described, discoverable and easily accessible. However, to keep pace with the evolution of groundwater studies in the last decade, the associated data and data management requirements have changed significantly. In particular, there is a growing recognition that management questions cannot be adequately answered by single discipline studies. This has led a push towards the paradigm of integrated modeling, where diverse parts of the hydrological cycle and its human connections are included. This chapter describes groundwater data management practices, and reviews the current state of the art with enterprise groundwater database management systems. It also includes discussion on commonly used data management models, detailing typical data management lifecycles. We discuss the growing use of web services and open standards such as GWML and WaterML2.0 to exchange groundwater information and knowledge, and the need for national data networks. We also discuss cross-jurisdictional interoperability issues, based on our experience sharing groundwater data across the US/Canadian border. Lastly, we present some future trends relating to groundwater data management.
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