{"pageNumber":"1230","pageRowStart":"30725","pageSize":"25","recordCount":165227,"records":[{"id":70174145,"text":"70174145 - 2015 - Conservation status of North American freshwater crayfish (Decapoda: Cambaridae) from the southern United States","interactions":[],"lastModifiedDate":"2016-08-31T11:38:34","indexId":"70174145","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"title":"Conservation status of North American freshwater crayfish (Decapoda: Cambaridae) from the southern United States","docAbstract":"

A list is provided of all crayfishes (family Cambaridae) in the southern United States, which includes common names, global conservation status, an alternative review of the conservation status based on the IUCN red list criteria, and state distribution. This list includes 357 native crayfishes, of which 12 (3.4%) are critically endangered, 37 (10.4%) are endangered, 126 (35.3%) are vulnerable, 181 (50.7%) are lower risk, and 1 (0.3%) is not evaluated. The leading factors causing imperilment are restricted ranges caused by anthropogenic impacts from changes in land use, contaminants, invasion by non-indigenous species, and habitat fragmentation. In order to conserve and manage diversity of native crayfish, consistency is needed in determining conservation status and more complete distribution and life history information are needed for about 60% of species.

","language":"English","publisher":"Brill","doi":"10.1163/1937240X-00002383","usgsCitation":"Loughman, Z.J., Welsh, S., Fetzner, J.W., and Thoma, R.F., 2015, Conservation status of North American freshwater crayfish (Decapoda: Cambaridae) from the southern United States: Journal of Crustacean Biology, v. 35, no. 6, p. 850-860, https://doi.org/10.1163/1937240X-00002383.","productDescription":"11 p.","startPage":"850","endPage":"860","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017480","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472418,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/1937240x-00002383","text":"Publisher Index Page"},{"id":328119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffafe4b0f2f0cebfc227","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":647615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":640992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fetzner, James W.","contributorId":172315,"corporation":false,"usgs":false,"family":"Fetzner","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":647616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thoma, Roger F.","contributorId":172206,"corporation":false,"usgs":false,"family":"Thoma","given":"Roger","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":647617,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174155,"text":"70174155 - 2015 - Day-roost tree selection by northern long-eared bats - What do non-roost tree comparisons and one year of data really tell us?","interactions":[],"lastModifiedDate":"2016-07-18T16:02:10","indexId":"70174155","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Day-roost tree selection by northern long-eared bats - What do non-roost tree comparisons and one year of data really tell us?","docAbstract":"

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

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.gecco.2015.03.008","usgsCitation":"Silvis, A., Ford, W., and Britzke, E.R., 2015, Day-roost tree selection by northern long-eared bats - What do non-roost tree comparisons and one year of data really tell us?: Global Ecology and Conservation, v. 3, p. 756-763, https://doi.org/10.1016/j.gecco.2015.03.008.","productDescription":"8 p.","startPage":"756","endPage":"763","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040382","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2015.03.008","text":"Publisher Index Page"},{"id":325401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","otherGeospatial":"Fort Knox Military Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.00749969482422,\n 37.86455455760559\n ],\n [\n -86.00749969482422,\n 37.98993962366689\n ],\n [\n -85.81558227539062,\n 37.98993962366689\n ],\n [\n -85.81558227539062,\n 37.86455455760559\n ],\n [\n -86.00749969482422,\n 37.86455455760559\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578dfdb0e4b0f1bea0e0f82c","contributors":{"authors":[{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":642785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":641002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Britzke, Eric R.","contributorId":8327,"corporation":false,"usgs":true,"family":"Britzke","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":642786,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193473,"text":"70193473 - 2015 - Continuous monitoring of meteorological conditions and movement of a deep-seated, persistently moving rockslide along Interstate Route 79 near Pittsburgh","interactions":[],"lastModifiedDate":"2017-11-11T13:38:27","indexId":"70193473","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3029,"text":"Pennsylvania Geology","active":true,"publicationSubtype":{"id":10}},"title":"Continuous monitoring of meteorological conditions and movement of a deep-seated, persistently moving rockslide along Interstate Route 79 near Pittsburgh","docAbstract":"
A large inventory of landslides exists for Allegheny County, Pa., and historical movement of many
of these has resulted in considerable damage to property, roads, and infrastructure. Along Interstate
Route 79, a subset of the landslide inventory includes deep-seated rockslides, two of which reactivated
during construction of the highway in the late 1960s (Gray and others, 2011). Following the initial
movement of the rockslides, slope-stability investigations were conducted (Hamel, 1969; Hamel and
Flint, 1969), and measures were taken to reduce their impacts to the highway, but movement of at least
one of the rockslides persists even today. Long-term continuous monitoring of such landslides provides
critical data used to assess how the state of activity and velocity of movement (when the landslide is
active) change with rainfall and snowmelt. Currently, we are continuously monitoring meteorological
conditions and movement of a rockslide along the northbound side of Interstate Route 79 in Aleppo, Pa.
(Figure 1). The project is intended to extend over many years (approximately 5 to 10) in order to collect
sufficient data to assess how extreme storms, prolonged wet periods, and melting of the snowpack affect
the landslide. The rockslide is an ideal location for such long-term monitoring because the land is owned
by the Pennsylvania Department of Transportation (PennDOT), and movement is not directly impacting
the highway; therefore no stabilization measures are necessary in the short term.
","language":"English","publisher":"PA Bureau of Topographic and Geologic Survey","usgsCitation":"Ashland, F., and Delano, H.L., 2015, Continuous monitoring of meteorological conditions and movement of a deep-seated, persistently moving rockslide along Interstate Route 79 near Pittsburgh: Pennsylvania Geology, v. 45, no. 2, p. 22-26.","productDescription":"5 p.","startPage":"22","endPage":"26","ipdsId":"IP-068356","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":348606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348041,"type":{"id":15,"text":"Index Page"},"url":"https://www.dcnr.pa.gov/Geology/PublicationsAndData/Pages/default.aspx"}],"country":"United States","state":"Pennsylvania","city":"Pittsburgh","otherGeospatial":"Interstate Route 79","volume":"45","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07eb8be4b09af898c8ccea","contributors":{"authors":[{"text":"Ashland, Francis 0000-0001-9948-0195 fashland@usgs.gov","orcid":"https://orcid.org/0000-0001-9948-0195","contributorId":198587,"corporation":false,"usgs":true,"family":"Ashland","given":"Francis","email":"fashland@usgs.gov","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":719179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delano, Helen L.","contributorId":199462,"corporation":false,"usgs":false,"family":"Delano","given":"Helen","email":"","middleInitial":"L.","affiliations":[{"id":16182,"text":"Pennsylvania Geological Survey","active":true,"usgs":false}],"preferred":false,"id":719180,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182466,"text":"70182466 - 2015 - Twentieth-century shifts in forest structure in California: Denser forests, smaller trees, and increased dominance of oaks","interactions":[],"lastModifiedDate":"2017-03-15T15:25:00","indexId":"70182466","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth-century shifts in forest structure in California: Denser forests, smaller trees, and increased dominance of oaks","docAbstract":"We document changes in forest structure between historical(1930s) and contemporary (2000s) surveys of California vegetation through comparisons of tree abundance and size across the state and within several ecoregions. Across California, tree density in forested regions increased by 30% between the two time periods, whereas forest biomass in the same regions declined, as indicated by a 19% reduction in basal area. These changes reflect a demographic shift in forest structure: larger trees (>61 cm diameter at breast height) have declined, whereas smaller trees ( < 30 cm) have increased. Large tree declines were found in all surveyed regions of California, whereas small tree increases were found in every region except the south and central coast. Large tree declines were more severe in areas experiencing greater increases in climaticwater deficit since the 1930s, based on a hydrologicmodel of water balance for historical climates through the 20th century. Forest composition in California in the last century has also shifted toward increased dominance by oaks relative to pines, a pattern consistent with warming and increased water stress, and also with paleohistoric shifts in vegetation in California over the last 150,000 y.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1410186112","usgsCitation":"McIntyre, P.J., Thorne, J.H., Dolanc, C.R., Flint, A.L., Flint, L.E., Kelly, M., and Ackerly, D.D., 2015, Twentieth-century shifts in forest structure in California: Denser forests, smaller trees, and increased dominance of oaks: Proceedings of the National Academy of Sciences, v. 112, no. 5, p. 1458-1463, https://doi.org/10.1073/pnas.1410186112.","productDescription":"6 p.","startPage":"1458","endPage":"1463","ipdsId":"IP-059537","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472404,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671199,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, Maggi","contributorId":14275,"corporation":false,"usgs":true,"family":"Kelly","given":"Maggi","affiliations":[],"preferred":false,"id":671204,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ackerly, David D.","contributorId":182417,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":671205,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70187015,"text":"70187015 - 2015 - Stable-isotope and solute-chemistry approaches to flow characterization in a forested tropical watershed, Luquillo Mountains, Puerto Rico","interactions":[],"lastModifiedDate":"2017-04-19T10:34:45","indexId":"70187015","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Stable-isotope and solute-chemistry approaches to flow characterization in a forested tropical watershed, Luquillo Mountains, Puerto Rico","docAbstract":"

The prospect of changing climate has led to uncertainty about the resilience of forested mountain watersheds in the tropics. In watersheds where frequent, high rainfall provides ample runoff, we often lack understanding of how the system will respond under conditions of decreased rainfall or drought. Factors that govern water supply, such as recharge rates and groundwater storage capacity, may be poorly quantified. This paper describes 8-year data sets of water stable isotope composition (δ2H and δ18O) of precipitation (4 sites) and a stream (1 site), and four contemporaneous stream sample sets of solute chemistry and isotopes, used to investigate watershed response to precipitation inputs in the 1780-ha Río Mameyes basin in the Luquillo Mountains of northeastern Puerto Rico. Extreme δ2H and δ18O values from low-pressure storm systems and the deuterium excess (d-excess) were useful tracers of watershed response in this tropical system. A hydrograph separation experiment performed in June 2011 yielded different but complementary information from stable isotope and solute chemistry data. The hydrograph separation results indicated that 36% of the storm rain that reached the soil surface left the watershed in a very short time as runoff. Weathering-derived solutes indicated near-stream groundwater was displaced into the stream at the beginning of the event, followed by significant dilution. The more biologically active solutes exhibited a net flushing behavior. The d-excess analysis suggested that streamflow typically has a recent rainfall component (∼25%) with transit time less than the sampling resolution of 7 days, and a more well-mixed groundwater component (∼75%). The contemporaneous stream sample sets showed an overall increase in dissolved solute concentrations with decreasing elevation that may be related to groundwater inputs, different geology, and slope position. A considerable amount of water from rain events runs off as quickflow and bypasses subsurface watershed flowpaths, and better understanding of shallow hillslope and deeper groundwater processes in the watershed will require sub-weekly data and detailed transit time modeling. A combined isotopic and solute chemistry approach can guide further studies to a more comprehensive model of the hydrology, and inform decisions for managing water supply with future changes in climate and land use.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2015.03.008","usgsCitation":"Scholl, M.A., Shanley, J.B., Murphy, S.F., Willenbring, J.K., Occhi, M., and Gonzalez, G., 2015, Stable-isotope and solute-chemistry approaches to flow characterization in a forested tropical watershed, Luquillo Mountains, Puerto Rico: Applied Geochemistry, v. 63, p. 484-497, https://doi.org/10.1016/j.apgeochem.2015.03.008.","productDescription":"14 p.","startPage":"484","endPage":"497","ipdsId":"IP-063619","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472425,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/4rh0q3tv","text":"External Repository"},{"id":339930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.96397399902344,\n 18.173254472950752\n ],\n [\n -65.6048583984375,\n 18.173254472950752\n ],\n [\n -65.6048583984375,\n 18.394927021680232\n ],\n [\n -65.96397399902344,\n 18.394927021680232\n ],\n [\n -65.96397399902344,\n 18.173254472950752\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"63","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877bbe4b0b7ea54521c32","contributors":{"authors":[{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":691897,"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":691898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":691899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willenbring, Jane K","contributorId":191115,"corporation":false,"usgs":false,"family":"Willenbring","given":"Jane","email":"","middleInitial":"K","affiliations":[],"preferred":false,"id":691900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Occhi, Marcie","contributorId":191116,"corporation":false,"usgs":false,"family":"Occhi","given":"Marcie","affiliations":[],"preferred":false,"id":691901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez, Grizelle","contributorId":191117,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","email":"","affiliations":[],"preferred":false,"id":691902,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70182177,"text":"70182177 - 2015 - High-speed limnology: Using advanced sensors to investigate spatial variability in biogeochemistry and hydrology","interactions":[],"lastModifiedDate":"2023-03-13T17:30:15.126103","indexId":"70182177","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"High-speed limnology: Using advanced sensors to investigate spatial variability in biogeochemistry and hydrology","docAbstract":"

Advanced sensor technology is widely used in aquatic monitoring and research. Most applications focus on temporal variability, whereas spatial variability has been challenging to document. We assess the capability of water chemistry sensors embedded in a high-speed water intake system to document spatial variability. This new sensor platform continuously samples surface water at a range of speeds (0 to >45 km h–1) resulting in high-density, mesoscale spatial data. These novel observations reveal previously unknown variability in physical, chemical, and biological factors in streams, rivers, and lakes. By combining multiple sensors into one platform, we were able to detect terrestrial–aquatic hydrologic connections in a small dystrophic lake, to infer the role of main-channel vs backwater nutrient processing in a large river and to detect sharp chemical changes across aquatic ecosystem boundaries in a stream/lake complex. Spatial sensor data were verified in our examples by comparing with standard lab-based measurements of selected variables. Spatial fDOM data showed strong correlation with wet chemistry measurements of DOC, and optical NO3 concentrations were highly correlated with lab-based measurements. High-frequency spatial data similar to our examples could be used to further understand aquatic biogeochemical fluxes, ecological patterns, and ecosystem processes, and will both inform and benefit from fixed-site data.

","language":"English","publisher":"ACS Publications","doi":"10.1021/es504773x","usgsCitation":"Crawford, J.T., Loken, L., Casson, N.J., Smith, C., Stone, A.G., and Winslow, L.A., 2015, High-speed limnology: Using advanced sensors to investigate spatial variability in biogeochemistry and hydrology: Environmental Science & Technology, v. 49, no. 1, p. 442-450, https://doi.org/10.1021/es504773x.","productDescription":"9 p.","startPage":"442","endPage":"450","ipdsId":"IP-060665","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472436,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es504773x","text":"Publisher Index Page"},{"id":335832,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Mendota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.40173033599879,\n 43.07347645438287\n ],\n [\n -89.38023693230257,\n 43.078382654645424\n ],\n [\n -89.36176603850066,\n 43.09800352757304\n ],\n [\n -89.36848272715585,\n 43.11614723923495\n ],\n [\n -89.37721442240766,\n 43.115656939360235\n ],\n [\n -89.36411687953026,\n 43.12938385089856\n ],\n [\n -89.37284857478208,\n 43.13575601287684\n ],\n [\n -89.4020661704318,\n 43.1313445868372\n ],\n [\n -89.40508868032673,\n 43.15486851517488\n ],\n [\n -89.41986539536839,\n 43.1507034790599\n ],\n [\n -89.43766462030436,\n 43.148253325220736\n ],\n [\n -89.439343792468,\n 43.130364226724964\n ],\n [\n -89.45479217637498,\n 43.114921482182126\n ],\n [\n -89.4866964474873,\n 43.10707605564116\n ],\n [\n -89.48568894418901,\n 43.08868439660202\n ],\n [\n -89.4645313749251,\n 43.07642022167718\n ],\n [\n -89.43262710381278,\n 43.08917491253359\n ],\n [\n -89.42826125618721,\n 43.07936384756135\n ],\n [\n -89.42053706423373,\n 43.074948355706226\n ],\n [\n -89.40173033599879,\n 43.07347645438287\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-08","publicationStatus":"PW","scienceBaseUri":"58ac0e30e4b0ce4410e7d600","chorus":{"doi":"10.1021/es504773x","url":"http://dx.doi.org/10.1021/es504773x","publisher":"American Chemical Society (ACS)","authors":"Crawford John T., Loken Luke C., Casson Nora J., Smith Colin, Stone Amanda G., Winslow Luke A.","journalName":"Environmental Science & Technology","publicationDate":"1/6/2015","auditedOn":"3/4/2016","publiclyAccessibleDate":"12/8/2014"},"contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":37277,"text":"WMA - 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2015 - Observational changes to the natural flow regime in Lee Creek in relation to altered precipitation patterns and its implication for fishes","interactions":[],"lastModifiedDate":"2017-11-21T12:46:10","indexId":"70193151","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3894,"text":"Proceedings of the Oklahoma Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Observational changes to the natural flow regime in Lee Creek in relation to altered precipitation patterns and its implication for fishes","docAbstract":"

The natural flow regime is important for structuring streams and their resident ichthyofauna and alterations to this regime can have cascading consequences. We sought to determine if changes in hydrology could be attributed to changes in precipitation in a minimally altered watershed (Lee Creek). The stream flow regime was analyzed using Indicators of Hydrologic Alteration (IHA) software, and data from a nearby climate station were used to summarize concurrent precipitation patterns. We discovered that Lee Creek hydrology had become flashier (i.e., increased frequency of extreme events of shorter duration) since 1992 coincident with changes in precipitation patterns. Specifically, our results show fewer but more intense rain events within the Lee Creek watershed. Our research provides evidence that climate-induced changes to the natural flow regime are currently underway and additional research on its effects on the fish community is warranted.

","language":"English","publisher":"Oklahoma Academy of Science","usgsCitation":"Gatlin, M.R., Long, J.M., and Turton, D.J., 2015, Observational changes to the natural flow regime in Lee Creek in relation to altered precipitation patterns and its implication for fishes: Proceedings of the Oklahoma Academy of Science, v. 95, p. 135-146.","productDescription":"12 p.","startPage":"135","endPage":"146","ipdsId":"IP-063504","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Oklahoma","otherGeospatial":"Lee Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.62661743164062,\n 35.464025575544674\n ],\n [\n -94.28123474121094,\n 35.464025575544674\n ],\n [\n -94.28123474121094,\n 35.74874138089811\n ],\n [\n -94.62661743164062,\n 35.74874138089811\n ],\n [\n -94.62661743164062,\n 35.464025575544674\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fec8e4b06e28e9c2535b","contributors":{"authors":[{"text":"Gatlin, Michael R.","contributorId":141324,"corporation":false,"usgs":false,"family":"Gatlin","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":718099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turton, Donald J.","contributorId":200683,"corporation":false,"usgs":false,"family":"Turton","given":"Donald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193678,"text":"70193678 - 2015 - Viewing the status of Virginia’s environment through the lens of freshwater fishes","interactions":[],"lastModifiedDate":"2017-11-13T11:58:02","indexId":"70193678","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3694,"text":"Virginia Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Viewing the status of Virginia’s environment through the lens of freshwater fishes","docAbstract":"

No abstract available.

","language":"English","publisher":"Virginia Journal of Science","usgsCitation":"Angermeier, P.L., and Pinder, M.J., 2015, Viewing the status of Virginia’s environment through the lens of freshwater fishes: Virginia Journal of Science, v. 66, p. 147-169.","productDescription":"13 p.","startPage":"147","endPage":"169","ipdsId":"IP-065711","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"66","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fec7e4b06e28e9c25353","contributors":{"authors":[{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinder, M. J.","contributorId":200292,"corporation":false,"usgs":false,"family":"Pinder","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721803,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191007,"text":"70191007 - 2015 - Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change","interactions":[],"lastModifiedDate":"2017-09-20T14:54:24","indexId":"70191007","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change","docAbstract":"

State-and-transition simulation models (STSMs) are known for their ability to explore the combined effects of multiple disturbances, ecological dynamics, and management actions on vegetation. However, integrating the additional impacts of climate change into STSMs remains a challenge. We address this challenge by combining an STSM with species distribution modeling (SDM). SDMs estimate the probability of occurrence of a given species based on observed presence and absence locations as well as environmental and climatic covariates. Thus, in order to account for changes in habitat suitability due to climate change, we used SDM to generate continuous surfaces of species occurrence probabilities. These data were imported into ST-Sim, an STSM platform, where they dictated the probability of each cell transitioning between alternate potential vegetation types at each time step. The STSM was parameterized to capture additional processes of vegetation growth and disturbance that are relevant to a keystone species in the Greater Yellowstone Ecosystem—whitebark pine (Pinus albicaulis). We compared historical model runs against historical observations of whitebark pine and a key disturbance agent (mountain pine beetle, Dendroctonus ponderosae), and then projected the simulation into the future. Using this combination of correlative and stochastic simulation models, we were able to reproduce historical observations and identify key data gaps. Results indicated that SDMs and STSMs are complementary tools, and combining them is an effective way to account for the anticipated impacts of climate change, biotic interactions, and disturbances, while also allowing for the exploration of management options.

","language":"English","publisher":"AIM Press","doi":"10.3934/environsci.2015.2.400","usgsCitation":"Miller, B.W., Frid, L., Chang, T., Piekielek, N.B., Hansen, A.J., and Morisette, J.T., 2015, Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change: AIMS Environmental Science, v. 2, no. 2, p. 400-426, https://doi.org/10.3934/environsci.2015.2.400.","productDescription":"27 p.","startPage":"400","endPage":"426","ipdsId":"IP-065083","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":472396,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/environsci.2015.2.400","text":"Publisher Index Page"},{"id":345943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c37e3be4b091459a631703","contributors":{"authors":[{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":710899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frid, Leonardo","contributorId":196604,"corporation":false,"usgs":false,"family":"Frid","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":710900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chang, Tony","contributorId":191992,"corporation":false,"usgs":false,"family":"Chang","given":"Tony","email":"","affiliations":[],"preferred":false,"id":710901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piekielek, N. B.","contributorId":127648,"corporation":false,"usgs":false,"family":"Piekielek","given":"N.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":710902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Andrew J.","contributorId":196605,"corporation":false,"usgs":false,"family":"Hansen","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":710903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":710898,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191995,"text":"70191995 - 2015 - Spatial and temporal variation in recruitment and growth of Channel Catfish Alabama bass and Tallapoosa Bass in the Tallapoosa River and associated tributaries","interactions":[],"lastModifiedDate":"2018-01-25T12:42:20","indexId":"70191995","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS -116","title":"Spatial and temporal variation in recruitment and growth of Channel Catfish Alabama bass and Tallapoosa Bass in the Tallapoosa River and associated tributaries","docAbstract":"

Effects of hydrology on growth and hatching success of age-0 black basses and Channel Catfish were examined in regulated and unregulated reaches of the Tallapoosa River, Alabama. Species of the family Centrarchidae, Ictalurus punctatus Channel Catfish and Pylodictis olivaris Flathead Catfish were also collected from multiple tributaries in the basin. Fish were collected from 2010-2014 and were assigned daily ages using otoliths. Hatch dates of individuals of three species (Micropterus henshalli Alabama Bass, M. tallapoosae Tallapoosa Bass and Channel Catfish) were back calculated, and growth histories were estimated every 5 d post hatch from otolith sections using incremental growth analysis. Hatch dates and incremental growth were related to hydrologic and temperature metrics from environmental data collected during the same time periods. Hatch dates at the regulated sites were related to and typically occurred during periods with low and stable flow conditions; however no clear relations between hatch and thermal or flow metrics were evident for the unregulated sites. Some fish hatched during unsuitable thermal conditions at the regulated site suggesting that some fish may recruit from unregulated tributaries. Ages and growth rates of age-0 black basses ranged from 105 to 131 d and 0.53 to 1.33 mm/day at the regulated sites and 44 to 128 d and 0.44 to 0.96 mm/d at the unregulated sites. In general, growth was highest among age-0 fish from the regulated sites, consistent with findings of other studies. Mortality of age-0 to age-1 fish was also variable among years and between sites and with the exception of one year, was lower at regulated sites. Multiple and single regression models of incremental growth versus age, discharge, and temperature metrics were evaluated with Akaike’s Information Criterion (AICc) to assess models that best described growth parameters. Of the models evaluated, the best overall models predicted that daily incremental growth was positively related to low flow parameters and negatively related to the number of times the hydrograph changed direction (e.g., reversals). These results suggest that specific flow and temperature criteria provided from the dam could potentially enhance growth and hatch success of these important sport fish species.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Irwin, E.R., and Goar, T., 2015, Spatial and temporal variation in recruitment and growth of Channel Catfish Alabama bass and Tallapoosa Bass in the Tallapoosa River and associated tributaries: Cooperator Science Series FWS/CSS -116, 30 p.","productDescription":"30 p.","ipdsId":"IP-064738","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350603,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2111"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac7e4b06e28e9c9a913","contributors":{"authors":[{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goar, Taconya","contributorId":201475,"corporation":false,"usgs":false,"family":"Goar","given":"Taconya","email":"","affiliations":[],"preferred":false,"id":725807,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191726,"text":"70191726 - 2015 - Field trip guidebook for the post-meeting field trip: The Central Appalachians","interactions":[],"lastModifiedDate":"2018-02-12T13:21:31","indexId":"70191726","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Field trip guidebook for the post-meeting field trip: The Central Appalachians","docAbstract":"

The lower Paleozoic rocks to be examined on this trip through the central Appalachians represent an extreme range of depositional environments. The lithofacies we will examine range from pelagic radiolarian chert and interbedded mudstone that originated on the deep floor of the Iapetus Ocean, through mud cracked supratidal dolomitic laminites that formed during episodes of emergence of the long-lived Laurentian carbonate platform, to meandering fluvial conglomerate and interstratified overbank mudstone packages deposited in the latest stages of infilling of the Taconic foredeep. In many ways this field trip is about contrasts. The Upper Cambrian (Furongian) and Lower Ordovician deposits of the Sauk megasequence record deposition controlled primarily by eustatic sea level sea level fluctuations that influenced deposition along the passive, southern (Appalachian) margin of the paleocontinent of Laurentia. The only tectonic influence apparent in these passive margin deposits is the expected thickening of the carbonate stack toward the platform margin as compared to the thinner (and typically shallower) facies that formed farther in toward the paleoshoreline. Carbonates overwhelmingly dominate the passive margin succession. Clastic influx was minimal and consisted largely of eastward transport of clean cratonic sands across the platform from the adjacent inner detrital belt to the west during higher order (2nd and 3rd order) regressions.

In contrast, Middle and Upper Ordovician deposits of the Tippecanoe megasequence record the strong influence of tectonics, specifically Iapetus closure. The first signal of this tectonic transformation was the arrival of arc-related ash beds that abound in the active margin carbonates. Subsequent intensification of Taconic orogenesis resulted in the foundering of the carbonate platform under the onslaught of fine siliciclastics arriving from offshore tectonic sources to the east, creating a deep marine flysch basin where graptolitic shale and sandstone turbidites accumulated. The foreland basin thus created would fill with progressively coarser and more shallow/proximal clastic facies through the Upper Ordovician, culminating in deposition of fluvial redbeds that cap the Taconic clastic wedge. Arguably the most controversial rocks within the Tippecanoe Sequence in this area are unusual, Lower Ordovician deep marine facies that are associated with the much younger flysch of the Martinsburg Formation in the Great Valley of eastern Pennsylvania. Long considered the erosional remnants of a Taconic-style thrust sheet, and referred to as the Hamburg Klippe, these deep marine deposits have recently been reinterpreted as olistostromal deposits that were introduced by gravity sliding into the flysch basin contemporaneous with Martinsburg deposition.

Besides their constituent lithofacies, rocks of the Sauk and Tippecanoe megasequences also present a stark contrast in faunas. Cambrian and Lower Ordovician faunas predate the Great Ordovician Biodiversification Event (GOBE), a global event that saw unprecedented diversification within many major invertebrate groups (mollusks, corals, and bryozoans to name a few) that previously were only minor components of the marine fauna. Unfortunately, the much higher diversity of Middle and Upper Ordovician faunas wrought by the GOBE is somewhat muted in this region by the stresses introduced by conversion of the Appalachian shelf into a flysch basin. Another noteworthy difference between the Cambrian and Ordovician biota related to the paleogeographic setting of the rocks to be examined on this trip derives from their evolution in the shallow marine environments of Laurentia. Several shelf-wide extinctions decimated the shallow marine faunas of the Laurentian shelf through the late Cambrian producing stage-level biostratigraphic units known as biomeres. The biomere phenomenon is discussed in this guidebook and a few stops to examine Cambrian faunas and one biomere boundary extinction are included to provide contrast with stage boundary extinctions that occurred later, in the Ordovician, that lack the defining attributes of the biomere boundary extinctions. Again, it’s all about contrast.

","language":"English","publisher":"Micropress","usgsCitation":"Taylor, J.F., Loch, J.D., Ganis, G., Repetski, J.E., Mitchell, C.E., Blackmer, G.C., Brezinski, D.K., Goldman, D., Orndorff, R.C., and Sell, B.K., 2015, Field trip guidebook for the post-meeting field trip: The Central Appalachians: Stratigraphy, v. 12, no. 3-4, p. 297-413.","productDescription":"117 p.","startPage":"297","endPage":"413","ipdsId":"IP-068793","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":351492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346787,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-317/article-1939"}],"country":"United States","otherGeospatial":"Central Appalachians","volume":"12","issue":"3-4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeebefe4b0da30c1bfc6a8","contributors":{"authors":[{"text":"Taylor, John F.","contributorId":80890,"corporation":false,"usgs":false,"family":"Taylor","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":713182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loch, James D.","contributorId":20139,"corporation":false,"usgs":false,"family":"Loch","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":713183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganis, G. Robert","contributorId":197316,"corporation":false,"usgs":false,"family":"Ganis","given":"G. Robert","affiliations":[],"preferred":false,"id":713184,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":713181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Charles E.","contributorId":197317,"corporation":false,"usgs":false,"family":"Mitchell","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713185,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blackmer, Gale C.","contributorId":197318,"corporation":false,"usgs":false,"family":"Blackmer","given":"Gale","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":713186,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brezinski, David K.","contributorId":197319,"corporation":false,"usgs":false,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":713187,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldman, Daniel","contributorId":190954,"corporation":false,"usgs":false,"family":"Goldman","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":713188,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"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":713189,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sell, Bryan K.","contributorId":197320,"corporation":false,"usgs":false,"family":"Sell","given":"Bryan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":713190,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70194118,"text":"70194118 - 2015 - Seafloor geomorphic manifestations of gas venting and shallow subbottom gas hydrate occurrences","interactions":[],"lastModifiedDate":"2017-11-17T10:31:31","indexId":"70194118","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seafloor geomorphic manifestations of gas venting and shallow subbottom gas hydrate occurrences","docAbstract":"

High-resolution multibeam bathymetry data collected with an autonomous underwater vehicle (AUV) complemented by compressed high-intensity radar pulse (Chirp) profiles and remotely operated vehicle (ROV) observations and sediment sampling reveal a distinctive rough topography associated with seafloor gas venting and/or near-subsurface gas hydrate accumulations. The surveys provide 1 m bathymetric grids of deep-water gas venting sites along the best-known gas venting areas along the Pacific margin of North America, which is an unprecedented level of resolution. Patches of conspicuously rough seafloor that are tens of meters to hundreds of meters across and occur on larger seafloor topographic highs characterize seepage areas. Some patches are composed of multiple depressions that range from 1 to 100 m in diameter and are commonly up to 10 m deeper than the adjacent seafloor. Elevated mounds with relief of >10 m and fractured surfaces suggest that seafloor expansion also occurs. Ground truth observations show that these areas contain broken pavements of methane-derived authigenic carbonates with intervening topographic lows. Patterns seen in Chirp profiles, ROV observations, and core data suggest that the rough topography is produced by a combination of diagenetic alteration, focused erosion, and inflation of the seafloor. This characteristic texture allows previously unknown gas venting areas to be identified within these surveys. A conceptual model for the evolution of these features suggests that these morphologies develop slowly over protracted periods of slow seepage and shows the impact of gas venting and gas hydrate development on the seafloor morphology.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01012.1","usgsCitation":"Paull, C.K., Caress, D.W., Thomas, H., Lundsten, E.M., Anderson, K., Gwiazda, R., Riedel, M., McGann, M., and Herguera, J., 2015, Seafloor geomorphic manifestations of gas venting and shallow subbottom gas hydrate occurrences: Geosphere, v. 11, no. 2, p. 491-513, https://doi.org/10.1130/GES01012.1.","productDescription":"23 p.","startPage":"491","endPage":"513","ipdsId":"IP-053379","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01012.1","text":"Publisher Index Page"},{"id":349049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60febde4b06e28e9c25347","contributors":{"authors":[{"text":"Paull, C. K.","contributorId":200384,"corporation":false,"usgs":false,"family":"Paull","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caress, D. W.","contributorId":200385,"corporation":false,"usgs":false,"family":"Caress","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":722147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Hans","contributorId":167475,"corporation":false,"usgs":false,"family":"Thomas","given":"Hans","email":"","affiliations":[{"id":24714,"text":"Monterey Bay Aquarium Research Institite","active":true,"usgs":false}],"preferred":false,"id":722148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lundsten, Eve M.","contributorId":147191,"corporation":false,"usgs":false,"family":"Lundsten","given":"Eve","email":"","middleInitial":"M.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":722149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Kayce","contributorId":173761,"corporation":false,"usgs":false,"family":"Anderson","given":"Kayce","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":722150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gwiazda, Roberto","contributorId":147193,"corporation":false,"usgs":false,"family":"Gwiazda","given":"Roberto","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":722151,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riedel, M","contributorId":200386,"corporation":false,"usgs":false,"family":"Riedel","given":"M","affiliations":[],"preferred":false,"id":722152,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":722145,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herguera, J C","contributorId":200387,"corporation":false,"usgs":false,"family":"Herguera","given":"J C","affiliations":[],"preferred":false,"id":722153,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70154970,"text":"70154970 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Zane Hills, Hughes and Shungnak quadrangles, Alaska","interactions":[],"lastModifiedDate":"2017-06-07T14:31:06","indexId":"70154970","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Zane Hills, Hughes and Shungnak quadrangles, Alaska","docAbstract":"

The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.

The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.

For this report, DGGS funded reanalysis of 105 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Zane Hills area in the Hughes and Shungnak quadrangles, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.

","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29453","usgsCitation":"Werdon, M., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Zane Hills, Hughes and Shungnak quadrangles, Alaska, 5 p., https://doi.org/10.14509/29453.","productDescription":"5 p.","startPage":"1","endPage":"5","ipdsId":"IP-064898","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":472393,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29453","text":"Publisher Index Page"},{"id":342226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342225,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://dggs.alaska.gov/webpubs/dggs/rdf/text/rdf2015_009.pdf"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.708984375,\n 67.13582938531948\n ],\n [\n -156.90673828125,\n 66.23145747862573\n ],\n [\n -152.1826171875,\n 66.19600891267761\n ],\n [\n -150.27099609375003,\n 66.19600891267761\n ],\n [\n -150.1171875,\n 67.00742808549913\n ],\n [\n -150.13916015625,\n 67.15289820820026\n ],\n [\n -149.96337890625,\n 67.2720426739952\n ],\n [\n -149.8974609375,\n 67.62595438857817\n ],\n [\n -152.11669921874997,\n 67.61758898023682\n ],\n [\n -153.47900390625,\n 67.60922060496382\n ],\n [\n -155.36865234375,\n 67.61758898023682\n ],\n [\n -156.42333984375,\n 67.65103282074831\n ],\n [\n -156.708984375,\n 67.13582938531948\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910b3e4b0764e6c5e88c6","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":53345,"corporation":false,"usgs":true,"family":"Werdon","given":"Melanie B.","affiliations":[],"preferred":false,"id":564425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":564424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":564426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191918,"text":"70191918 - 2015 - An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California","interactions":[],"lastModifiedDate":"2017-10-19T13:04:58","indexId":"70191918","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California","docAbstract":"

Increased land-use intensity (e.g. clearing of forests for cultivation, urbanization), often results in the loss of ecosystem carbon storage, while changes in productivity resulting from climate change may either help offset or exacerbate losses. However, there are large uncertainties in how land and climate systems will evolve and interact to shape future ecosystem carbon dynamics. To address this we developed the Land Use and Carbon Scenario Simulator (LUCAS) to track changes in land use, land cover, land management, and disturbance, and their impact on ecosystem carbon storage and flux within a scenario-based framework. We have combined a state-and-transition simulation model (STSM) of land change with a stock and flow model of carbon dynamics. Land-change projections downscaled from the Intergovernmental Panel on Climate Change’s (IPCC) Special Report on Emission Scenarios (SRES) were used to drive changes within the STSM, while the Integrated Biosphere Simulator (IBIS) ecosystem model was used to derive input parameters for the carbon stock and flow model. The model was applied to the Sierra Nevada Mountains ecoregion in California, USA, a region prone to large wildfires and a forestry sector projected to intensify over the next century. Three scenario simulations were conducted, including a calibration scenario, a climate-change scenario, and an integrated climate- and land-change scenario. Based on results from the calibration scenario, the LUCAS age-structured carbon accounting model was able to accurately reproduce results obtained from the process-based biogeochemical model. Under the climate-only scenario, the ecoregion was projected to be a reliable net sink of carbon, however, when land use and disturbance were introduced, the ecoregion switched to become a net source. This research demonstrates how an integrated approach to carbon accounting can be used to evaluate various drivers of ecosystem carbon change in a robust, yet transparent modeling environment.

","language":"English","publisher":"AIMS","doi":"10.3934/environsci.2015.3.577","usgsCitation":"Sleeter, B.M., Liu, J., Daniel, C., Frid, L., and Zhu, Z., 2015, An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California: AIMS Environmental Science, v. 2, no. 3, p. 577-606, https://doi.org/10.3934/environsci.2015.3.577.","productDescription":"30 p.","startPage":"577","endPage":"606","ipdsId":"IP-064456","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472411,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/environsci.2015.3.577","text":"Publisher Index Page"},{"id":346968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.05810546875,\n 40.6306300839918\n ],\n [\n -120.673828125,\n 38.151837403006766\n ],\n [\n -118.65234374999999,\n 35.46961797120201\n ],\n [\n -117.80639648437499,\n 35.68407153314097\n ],\n [\n -119.99267578124999,\n 39.918162846609455\n ],\n [\n -121.2451171875,\n 41.09591205639546\n ],\n [\n -122.05810546875,\n 40.6306300839918\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b998e4b05fe04cd65cda","contributors":{"authors":[{"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":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":713679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Jinxun 0000-0003-0561-8988","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":197530,"corporation":false,"usgs":false,"family":"Liu","given":"Jinxun","affiliations":[],"preferred":false,"id":713680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniel, Colin","contributorId":197531,"corporation":false,"usgs":false,"family":"Daniel","given":"Colin","affiliations":[],"preferred":false,"id":713681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frid, Leonardo","contributorId":196604,"corporation":false,"usgs":false,"family":"Frid","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":713682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":713683,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189560,"text":"70189560 - 2015 - Concentrations and distributions of metals associated with dissolved organic matter from the Suwannee River (GA, USA)","interactions":[],"lastModifiedDate":"2018-09-18T16:14:56","indexId":"70189560","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1535,"text":"Environmental Engineering Science","active":true,"publicationSubtype":{"id":10}},"title":"Concentrations and distributions of metals associated with dissolved organic matter from the Suwannee River (GA, USA)","docAbstract":"

Concentrations and distributions of metals in Suwannee River (SR) raw filtered surface water (RFSW) and dissolved organic matter (DOM) processed by reverse osmosis (RO), XAD-8 resin (for humic and fulvic acids [FA]), and XAD-4 resin (for “transphilic” acids) were analyzed by asymmetrical flow field-flow fractionation (AsFlFFF). SR samples were compared with DOM samples from Nelson's Creek (NLC), a wetland-draining stream in northern Michigan; previous International Humic Substances Society (IHSS) FA and RO samples from the SR; and an XAD-8 sample from Lake Fryxell (LF), Antarctica. Despite application of cation exchange during sample processing, all XAD and RO samples contained substantial metal concentrations. AsFlFFF fractograms allowed metal distributions to be characterized as a function of DOM component molecular weight (MW). In SR RFSW, Fe, Al, and Cu were primarily associated with intermediate to higher than average MW DOM components. SR RO, XAD-8, and XAD-4 samples from May 2012 showed similar MW trends for Fe and Al but Cu tended to associate more with lower MW DOM. LF DOM had abundant Cu and Zn, perhaps due to amine groups that should be present due to its primarily algal origins. None of the fractograms showed obvious evidence for mineral nanoparticles, although some very small mineral nanoparticles might have been present at trace concentrations. This research suggests that AsFlFFF is important for understanding how metals are distributed in different DOM samples (including IHSS samples), which may be key to metal reactivity and bioavailability.

","language":"English","publisher":"Mary Ann Liebert, Inc. Publishers","doi":"10.1089/ees.2014.0298","usgsCitation":"Kuhn, M.K., Neubauer, E., Hofmann, T., von der Kammer, F., Aiken, G.R., and Maurice, P.A., 2015, Concentrations and distributions of metals associated with dissolved organic matter from the Suwannee River (GA, USA): Environmental Engineering Science, v. 32, no. 1, p. 54-65, https://doi.org/10.1089/ees.2014.0298.","productDescription":"12 p.","startPage":"54","endPage":"65","ipdsId":"IP-059563","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Suwannee River","volume":"32","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596dcca3e4b0d1f9f0627563","contributors":{"authors":[{"text":"Kuhn, M. Keshia","contributorId":194715,"corporation":false,"usgs":false,"family":"Kuhn","given":"M.","email":"","middleInitial":"Keshia","affiliations":[],"preferred":false,"id":705177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neubauer, Elisabeth","contributorId":194716,"corporation":false,"usgs":false,"family":"Neubauer","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":705178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofmann, Thilo","contributorId":194717,"corporation":false,"usgs":false,"family":"Hofmann","given":"Thilo","email":"","affiliations":[],"preferred":false,"id":705179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von der Kammer, Frank","contributorId":194718,"corporation":false,"usgs":false,"family":"von der Kammer","given":"Frank","email":"","affiliations":[],"preferred":false,"id":705180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maurice, Patricia A.","contributorId":194719,"corporation":false,"usgs":false,"family":"Maurice","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155195,"text":"70155195 - 2015 - Potential nitrogen critical loads for northern Great Plains grassland vegetation","interactions":[],"lastModifiedDate":"2017-05-16T11:39:34","indexId":"70155195","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NGPN/NRR - 2015/989","title":"Potential nitrogen critical loads for northern Great Plains grassland vegetation","docAbstract":"

The National Park Service is concerned that increasing atmospheric nitrogen deposition caused by fossil fuel combustion and agricultural activities could adversely affect the northern Great Plains (NGP) ecosystems in its trust. The critical load concept facilitates communication between scientists and policy makers or land managers by translating the complex effects of air pollution on ecosystems into concrete numbers that can be used to inform air quality targets. A critical load is the exposure level below which significant harmful effects on sensitive elements of the environment do not occur. A recent review of the literature suggested that the nitrogen critical load for Great Plains vegetation is 10-25 kg N/ha/yr. For comparison, current atmospheric nitrogen deposition in NGP National Park Service (NPS) units ranges from ~4 kg N/ha/yr in the west to ~13 kg N/ha/yr in the east. The suggested critical load, however, was derived from studies far outside of the NGP, and from experiments investigating nitrogen loads substantially higher than current atmospheric deposition in the region.

Therefore, to better determine the nitrogen critical load for sensitive elements in NGP parks, we conducted a four-year field experiment in three northern Great Plains vegetation types at Badlands and Wind Cave National Parks. The vegetation types were chosen because of their importance in NGP parks, their expected sensitivity to nitrogen addition, and to span a range of natural fertility. In the experiment, we added nitrogen at rates ranging from below current atmospheric deposition (2.5 kg N/ha/yr) to far above those levels but commensurate with earlier experiments (100 kg N/ha/yr). We measured the response of a variety of vegetation and soil characteristics shown to be sensitive to nitrogen addition in other studies, including plant biomass production, plant tissue nitrogen concentration, plant species richness and composition, non-native species abundance, and soil inorganic nitrogen concentration. To determine critical loads for the NGP plant communities in our experiment, we followed the NPS’s precautionary principle in assuming that it is better to be cautious than to let harm occur to the environment. Thus, the critical loads we derived are the lowest nitrogen level that any of our data suggest has a measureable effect on any of the response variables measured.

Badlands sparse vegetation, a low-productivity plant community that is an important part of the scenery at Badlands National Park and provides habitat for rare plant species, was the most sensitive of the three vegetation types. More aspects of this vegetation type responded to nitrogen addition, and at lower levels, than at the other two sites. Our data suggest that nitrogen deposition levels of 4- 6 kg N/ha/yr may increase biomass production, and consequently the amount of dead plant material on the ground in this plant community. Slightly higher critical loads are suggested for the two more productive vegetation types more characteristic of most NGP grasslands: 6-10 kg N/ha/yr for biomass production, grass tissue nitrogen concentration, or non-native species (especially annual brome grasses) cover. Highly variable results among years, as well as inconsistent responses to an increasing dose of nitrogen within sites, complicated the derivation of critical loads in this experiment, however. A less precautionary approach to deriving critical loads yielded higher values of 10-38 kg N/ha/yr.

","language":"English","publisher":"U.S. National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Symstad, A., Smith, A.T., Newton, W.E., and Knapp, A., 2015, Potential nitrogen critical loads for northern Great Plains grassland vegetation: Natural Resource Report NPS/NGPN/NRR - 2015/989, viii, 59 p.","productDescription":"viii, 59 p.","numberOfPages":"72","ipdsId":"IP-064923","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":305827,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2222974"},{"id":341347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.218017578125,\n 49.001843917978526\n ],\n [\n -104.26025390625,\n 48.99463598353405\n ],\n [\n -104.26025390625,\n 46.98025235521883\n ],\n [\n -104.34814453125,\n 45.19752230305682\n ],\n [\n -104.501953125,\n 43.40504748787035\n ],\n [\n -104.67773437499999,\n 41.72213058512578\n ],\n [\n -104.26025390625,\n 40.613952441166596\n ],\n [\n -103.35937499999999,\n 39.9434364619742\n ],\n [\n -102.0849609375,\n 39.690280594818034\n ],\n [\n -101.5576171875,\n 39.9434364619742\n ],\n [\n -96.50390625,\n 42.47209690919285\n ],\n [\n -96.65771484375,\n 42.71473218539458\n ],\n [\n -96.52587890625,\n 42.97250158602597\n ],\n [\n -96.48193359375,\n 43.16512263158296\n ],\n [\n -96.48193359375,\n 43.5326204268101\n ],\n [\n -96.45996093749999,\n 43.76315996157264\n ],\n [\n -96.43798828125,\n 45.127804527473224\n ],\n [\n -96.50390625,\n 45.38301927899065\n ],\n [\n -96.690673828125,\n 45.43700828867391\n ],\n [\n -96.85546875,\n 45.598665689820635\n ],\n [\n -96.78955078125,\n 45.644768217751924\n ],\n [\n -96.580810546875,\n 45.84410779560204\n ],\n [\n -96.580810546875,\n 46.01222384063236\n ],\n [\n -96.56982421875,\n 46.28622391806706\n ],\n [\n -96.800537109375,\n 46.649436163350245\n ],\n [\n -96.767578125,\n 46.94276208682137\n ],\n [\n -96.8115234375,\n 46.98025235521883\n ],\n [\n -96.800537109375,\n 47.24194882163242\n ],\n [\n -96.822509765625,\n 47.60616304386874\n ],\n [\n -97.108154296875,\n 48.085418575511966\n ],\n [\n -97.119140625,\n 48.494767515307295\n ],\n [\n -97.13012695312499,\n 48.80686346108517\n ],\n [\n -97.218017578125,\n 49.001843917978526\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fcbe4b0a7fdb43ddefa","contributors":{"authors":[{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":2611,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":565044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Anine T.","contributorId":145711,"corporation":false,"usgs":false,"family":"Smith","given":"Anine","email":"","middleInitial":"T.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":565045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, Wesley E. 0000-0002-1377-043X wnewton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-043X","contributorId":3661,"corporation":false,"usgs":true,"family":"Newton","given":"Wesley","email":"wnewton@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":565046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knapp, Alan K.","contributorId":139807,"corporation":false,"usgs":false,"family":"Knapp","given":"Alan K.","affiliations":[{"id":13277,"text":"Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":565047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186747,"text":"70186747 - 2015 - Ways to be different: Foraging adaptations that facilitate higher intake rates in a northerly wintering shorebird compared with a low-latitude conspecific","interactions":[],"lastModifiedDate":"2018-05-20T12:14:43","indexId":"70186747","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ways to be different: Foraging adaptations that facilitate higher intake rates in a northerly wintering shorebird compared with a low-latitude conspecific","docAbstract":"

At what phenotypic level do closely related subspecies that live in different environments differ with respect to food detection, ingestion and processing? This question motivated an experimental study on rock sandpipers (Calidris ptilocnemis). The species' nonbreeding range spans 20 deg of latitude, the extremes of which are inhabited by two subspecies: C. p. ptilocnemis that winters primarily in upper Cook Inlet, Alaska (61°N) and C. p. tschuktschorum that overlaps slightly with C. p. ptilocnemis but whose range extends much farther south (∼40°N). In view of the strongly contrasting energetic demands of their distinct nonbreeding distributions, we conducted experiments to assess the behavioral, physiological and sensory aspects of foraging and we used the bivalve Macoma balthica for all trials. C. p. ptilocnemis consumed a wider range of prey sizes, had higher maximum rates of energy intake, processed shell waste at higher maximum rates and handled prey more quickly. Notably, however, the two subspecies did not differ in their abilities to find buried prey. The subspecies were similar in size and had equally sized gizzards, but the more northern ptilocnemis individuals were 10–14% heavier than their same-sex tschuktschorum counterparts. The higher body mass in ptilocnemis probably resulted from hypertrophy of digestive organs (e.g. intestine, liver) related to digestion and nutrient assimilation. Given the previously established equality of the metabolic capacities of the two subspecies, we propose that the high-latitude nonbreeding range of ptilocnemis rock sandpipers is primarily facilitated by digestive (i.e. physiological) aspects of their foraging ecology rather than behavioral or sensory aspects.

","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.108894","usgsCitation":"Ruthrauff, D.R., Gill, R., Dekinga, A., van Gils, J.A., and Piersma, T., 2015, Ways to be different: Foraging adaptations that facilitate higher intake rates in a northerly wintering shorebird compared with a low-latitude conspecific: Journal of Experimental Biology, v. 218, no. 8, p. 1188-1197, https://doi.org/10.1242/jeb.108894.","productDescription":"10 p.","startPage":"1188","endPage":"1197","ipdsId":"IP-071868","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472423,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1242/jeb.108894","text":"External Repository"},{"id":438729,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PY1ULV","text":"USGS data release","linkHelpText":"Allometrics of Baltic Tellin (Macoma balthica) bivalves from Cook Inlet, AK, and Baie de Somme, France, 2010-2011"},{"id":339491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"218","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a544e4b09da6799d63ab","contributors":{"authors":[{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":690443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dekinga, Anne","contributorId":52000,"corporation":false,"usgs":true,"family":"Dekinga","given":"Anne","affiliations":[],"preferred":false,"id":690444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":690449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Gils, Jan A.","contributorId":141170,"corporation":false,"usgs":false,"family":"van Gils","given":"Jan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Piersma, Theunis","contributorId":45863,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":690451,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155189,"text":"70155189 - 2015 - A sinuous tumulus over an active lava tube at Kīlauea Volcano: evolution, analogs, and hazard forecasts","interactions":[],"lastModifiedDate":"2015-07-31T13:30:02","indexId":"70155189","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"A sinuous tumulus over an active lava tube at Kīlauea Volcano: evolution, analogs, and hazard forecasts","docAbstract":"

Inflation of narrow tube-fed basaltic lava flows (tens of meters across), such as those confined by topography, can be focused predominantly along the roof of a lava tube. This can lead to the development of an unusually long tumulus, its shape matching the sinuosity of the underlying lava tube. Such a situation occurred during Kīlauea Volcano's (Hawai'i, USA) ongoing East Rift Zone eruption on a lava tube active from July through November 2010. Short-lived breakouts from the tube buried the flanks of the sinuous, ridge-like tumulus, while the tumulus crest, its surface composed of lava formed very early in the flow's emplacement history, remained poised above the surrounding younger flows. At least several of these breakouts resulted in irrecoverable uplift of the tube roof. Confined sections of the prehistoric Carrizozo and McCartys flows (New Mexico, USA) display similar sinuous, ridge-like features with comparable surface age relationships. We contend that these distinct features formed in a fashion equivalent to that of the sinuous tumulus that formed at Kīlauea in 2010. Moreover, these sinuous tumuli may be analogs for some sinuous ridges evident in orbital images of the Tharsis volcanic province on Mars. The short-lived breakouts from the sinuous tumulus at Kīlauea were caused by surges in discharge through the lava tube, in response to cycles of deflation and inflation (DI events) at Kīlauea's summit. The correlation between DI events and subsequent breakouts aided in lava flow forecasting. Breakouts from the sinuous tumulus advanced repeatedly toward the sparsely populated Kalapana Gardens subdivision, destroying two homes and threatening others. Hazard assessments, including flow occurrence and advance forecasts, were relayed regularly to the Hawai'i County Civil Defense to aid their lava flow hazard mitigation efforts while this lava tube was active.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2014.12.002","usgsCitation":"Orr, T., Bleacher, J.E., Patrick, M.R., and Wooten, K.M., 2015, A sinuous tumulus over an active lava tube at Kīlauea Volcano: evolution, analogs, and hazard forecasts: Journal of Volcanology and Geothermal Research, v. 291, p. 35-48, https://doi.org/10.1016/j.jvolgeores.2014.12.002.","productDescription":"14 p.","startPage":"35","endPage":"48","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066883","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":306297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.0991439819336,\n 19.293646080810642\n ],\n [\n -155.0778579711914,\n 19.30595917262483\n ],\n [\n -155.068244934082,\n 19.311467361010138\n ],\n [\n -155.05760192871094,\n 19.31373538465064\n ],\n [\n -155.05142211914062,\n 19.3134113831997\n ],\n [\n -155.0397491455078,\n 19.319243311065275\n ],\n [\n -155.01296997070312,\n 19.32766683947806\n ],\n [\n -155.00232696533203,\n 19.33414618117357\n ],\n [\n -154.98756408691406,\n 19.34256894103876\n ],\n [\n -154.97657775878906,\n 19.348075895202154\n ],\n [\n -154.96765136718747,\n 19.355526184421763\n ],\n [\n -154.96112823486328,\n 19.36330003644329\n ],\n [\n -154.96833801269528,\n 19.36330003644329\n ],\n [\n -154.9786376953125,\n 19.36232832520847\n ],\n [\n -154.9954605102539,\n 19.35617401957764\n ],\n [\n -155.00747680664062,\n 19.35617401957764\n ],\n [\n -155.01468658447266,\n 19.36913018222096\n ],\n [\n -155.0218963623047,\n 19.384028496046792\n ],\n [\n -155.0294494628906,\n 19.397306279233565\n ],\n [\n -155.050048828125,\n 19.403782853560912\n ],\n [\n -155.06034851074216,\n 19.40443049681278\n ],\n [\n -155.06961822509763,\n 19.405401956855613\n ],\n [\n -155.06446838378906,\n 19.415440037504858\n ],\n [\n -155.07099151611328,\n 19.41608763433028\n ],\n [\n -155.08747100830078,\n 19.419649370751866\n ],\n [\n -155.10326385498047,\n 19.4144686374295\n ],\n [\n -155.115966796875,\n 19.403782853560912\n ],\n [\n -155.12420654296872,\n 19.39471557731923\n ],\n [\n -155.12592315673828,\n 19.3853239372009\n ],\n [\n -155.126953125,\n 19.373988477729753\n ],\n [\n -155.1221466064453,\n 19.357469682169615\n ],\n [\n -155.11871337890625,\n 19.34224499677179\n ],\n [\n -155.11562347412107,\n 19.325075030834952\n ],\n [\n -155.11184692382812,\n 19.321187240779548\n ],\n [\n -155.0991439819336,\n 19.293646080810642\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"291","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55bc9c28e4b033ef52100f13","contributors":{"authors":[{"text":"Orr, Tim R. torr@usgs.gov","contributorId":140376,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":565026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bleacher, Jacob E.","contributorId":145705,"corporation":false,"usgs":false,"family":"Bleacher","given":"Jacob","email":"","middleInitial":"E.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":565027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":565028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooten, Kelly M.","contributorId":145706,"corporation":false,"usgs":false,"family":"Wooten","given":"Kelly","email":"","middleInitial":"M.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":565029,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70140316,"text":"70140316 - 2015 - To predict the niche, model colonization and extinction","interactions":[],"lastModifiedDate":"2015-02-06T10:59:10","indexId":"70140316","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"To predict the niche, model colonization and extinction","docAbstract":"

Ecologists frequently try to predict the future geographic distributions of species. Most studies assume that the current distribution of a species reflects its environmental requirements (i.e., the species' niche). However, the current distributions of many species are unlikely to be at equilibrium with the current distribution of environmental conditions, both because of ongoing invasions and because the distribution of suitable environmental conditions is always changing. This mismatch between the equilibrium assumptions inherent in many analyses and the disequilibrium conditions in the real world leads to inaccurate predictions of species' geographic distributions and suggests the need for theory and analytical tools that avoid equilibrium assumptions. Here, we develop a general theory of environmental associations during periods of transient dynamics. We show that time-invariant relationships between environmental conditions and rates of local colonization and extinction can produce substantial temporal variation in occupancy–environment relationships. We then estimate occupancy–environment relationships during three avian invasions. Changes in occupancy–environment relationships over time differ among species but are predicted by dynamic occupancy models. Since estimates of the occupancy–environment relationships themselves are frequently poor predictors of future occupancy patterns, research should increasingly focus on characterizing how rates of local colonization and extinction vary with environmental conditions.

","language":"English","publisher":"Ecology","doi":"10.1890/14-1361.1","usgsCitation":"Yackulic, C.B., Nichols, J., Reid, J., and Der, R., 2015, To predict the niche, model colonization and extinction: Ecology, v. 96, no. 1, p. 16-23, https://doi.org/10.1890/14-1361.1.","productDescription":"8 p.","startPage":"16","endPage":"23","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054448","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/14-1361.1","text":"Publisher Index Page"},{"id":297778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac3e4b08de9379b31e9","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":539954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139082,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":539955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, Janice","contributorId":89391,"corporation":false,"usgs":false,"family":"Reid","given":"Janice","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":539956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Der, Ricky","contributorId":139084,"corporation":false,"usgs":false,"family":"Der","given":"Ricky","email":"","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":539957,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156491,"text":"70156491 - 2015 - How are your berries? Perspectives of Alaska’s environmental managers on trends in wild berry abundance","interactions":[],"lastModifiedDate":"2018-03-26T15:02:36","indexId":"70156491","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5013,"text":"International Journal of Circumpolar Health","active":true,"publicationSubtype":{"id":10}},"title":"How are your berries? Perspectives of Alaska’s environmental managers on trends in wild berry abundance","docAbstract":"

Background: Wild berries are a valued traditional food in Alaska. Phytochemicals in wild berries may contribute to the prevention of vascular disease, cancer and cognitive decline, making berry consumption important to community health in rural areas. Little was known regarding which species of berries were important to Alaskan communities, the number of species typically picked in communities and whether recent environmental change has affected berry abundance or quality.

Objective: To identify species of wild berries that were consumed by people in different ecological regions of Alaska and to determine if perceived berry abundance was changing for some species or in some regions.

Design: We asked tribal environmental managers throughout Alaska for their views on which among 12 types of wild berries were important to their communities and whether berry harvests over the past decade were different than in previous years. We received responses from 96 individuals in 73 communities.

Results: Berries that were considered very important to communities differed among ecological regions of Alaska. Low-bush blueberry (Vaccinium uliginosum and V. caespitosum), cloudberry (Rubus chamaemorus) and salmonberry (Rubus spectabilis) were most frequently identified as very important berries for communities in the boreal, polar and maritime ecoregions, respectively. For 7 of the 12 berries on the survey, a majority of respondents indicated that in the past decade abundance had either declined or become more variable.

Conclusions: Our study is an example of how environmental managers and participants in local observer networks can report on the status of wild resources in rural Alaska. Their observations suggest that there have been changes in the productivity of some wild berries in the past decade, resulting in greater uncertainty among communities regarding the security of berry harvests. Monitoring and experimental studies are needed to determine how environmental change may affect berry abundance.

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These agencies signed a Memorandum of Understanding (MOU) to facilitate interagency coordination, calling the effort the “Rocky Mountain National Park Initiative.” After much collaboration, the MOU agencies (CDPHE, NPS, and U.S. EPA) issued the Nitrogen Deposition Reduction Plan (NDRP) in 2007, which was endorsed by the three agencies and the Colorado Air Quality Control Commission (AQCC). The NDRP and other related documents are available on the CDPHE website: http://www.colorado.gov/cdphe/rmnpinitiative.\r\n\r\nThe purpose of this report is to inform the MOU agencies, stakeholders, and the public about the status and trends of wet nitrogen deposition at RMNP\r\nthrough 2013. In addition to other types of evidence, the MOU agencies use the information provided in this annual report to determine interim milestone achievements.","language":"English","publisher":"National Park Service","usgsCitation":"Morris, K., Mast, M.A., Clow, D.W., Wetherbee, G.A., Baron, J., Taipale, C., Blett, T., Gay, D., and Bowker, D., 2015, 2013 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park: Natural Resource Report NPS/NRSS/ARD/NRR—2015/997, v, 32 p.","productDescription":"v, 32 p.","numberOfPages":"41","ipdsId":"IP-065590","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":339817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":306277,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2223313"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d443e4b0f2e20545e425","contributors":{"authors":[{"text":"Morris, Kristi","contributorId":45197,"corporation":false,"usgs":true,"family":"Morris","given":"Kristi","affiliations":[],"preferred":false,"id":566903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":566905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":566906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taipale, Curt","contributorId":86237,"corporation":false,"usgs":true,"family":"Taipale","given":"Curt","email":"","affiliations":[],"preferred":false,"id":566907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blett, Tamara","contributorId":61070,"corporation":false,"usgs":true,"family":"Blett","given":"Tamara","affiliations":[],"preferred":false,"id":566908,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":566909,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowker, Daniel","contributorId":146263,"corporation":false,"usgs":false,"family":"Bowker","given":"Daniel","email":"","affiliations":[{"id":16654,"text":"Colorado State University, Natural Resource Ecologyy Lab","active":true,"usgs":false}],"preferred":false,"id":566910,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70173578,"text":"70173578 - 2015 - Status of the Topeka shiner in west-central Iowa","interactions":[],"lastModifiedDate":"2016-06-09T14:39:14","indexId":"70173578","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Status of the Topeka shiner in west-central Iowa","docAbstract":"

The Topeka shiner Notropis topeka is a federally endangered fish species that is estimated to occupy only 20% of its historic range. In Iowa Topeka shiners have been in decline for decades. Our goal was to determine the present distribution of Topeka shiners in the west-central portion of their range in Iowa and to characterize the extent of its decline. We compared the current distribution to distributions generated from earlier collections. We found Topeka shiners in six of 22 watersheds where they occurred historically. Status of Topeka shiners was judged to be stable in 27% of the watersheds, at risk in 45% of the watersheds, and possibly extirpated in 27% of the watersheds. None were classified as increasing. Based on comparison of the historical distribution with more recent ones, Topeka shiners in west-central Iowa showed a 27% decline a decade ago and currently exhibits a 73% decline in their distribution. The collective evidence from four of five other states in the species’ range reveals similar declines. This study provides further information on the local distribution and extent of decline for this federally endangered species with a greatly reduced and fragmented overall distribution.

","language":"English","publisher":"Bioone","doi":"10.1674/0003-0031-174.2.350","usgsCitation":"Pierce, C., Bakevich, B.D., and Quist, M., 2015, Status of the Topeka shiner in west-central Iowa: American Midland Naturalist, v. 174, no. 2, p. 350-358, https://doi.org/10.1674/0003-0031-174.2.350.","productDescription":"9 p.","startPage":"350","endPage":"358","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060742","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472618,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/194","text":"External Repository"},{"id":323398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"174","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9336e4b04f417c275187","contributors":{"authors":[{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bakevich, Bryan D.","contributorId":171671,"corporation":false,"usgs":false,"family":"Bakevich","given":"Bryan","email":"","middleInitial":"D.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":638256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":166707,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","email":"mquist@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":638257,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171569,"text":"70171569 - 2015 - Micrometer-scale U–Pb age domains in eucrite zircons, impact re-setting, and the thermal history of the HED parent body","interactions":[],"lastModifiedDate":"2016-06-06T10:12:41","indexId":"70171569","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Micrometer-scale U–Pb age domains in eucrite zircons, impact re-setting, and the thermal history of the HED parent body","docAbstract":"

Meteoritic zircons are rare, but some are documented to occur in asteroidal meteorites, including those of the howardite–eucrite–diogenite (HED) achondrite clan (Rubin, A. [1997]. Meteorit. Planet. Sci. 32, 231–247). The HEDs are widely considered to originate from the Asteroid 4 Vesta. Vesta and the other large main belt asteroids record an early bombardment history. To explore this record, we describe sub-micrometer distributions of trace elements (U, Th) and 235,238U–207,206Pb ages from four zircons (>7–40 μm ∅) separated from bulk samples of the brecciated eucrite Millbillillie. Ultra-high resolution (∼100 nm) ion microprobe depth profiles reveal different zircon age domains correlative to mineral chemistry and to possible impact scenarios. Our new U–Pb zircon geochronology shows that Vesta’s crust solidified within a few million years of Solar System formation (4561 ± 13 Ma), in good agreement with previous work (e.g. Carlson, R.W., Lugmair, G.W. [2000]. Timescales of planetesimal formation and differentiation based on extinct and extant radioisotopes. In: Canup, R., Righter, K. (Eds.), Origin of the Earth and Moon. University of Arizona Press, Tucson, pp. 25–44). Younger zircon age domains (ca. 4530 Ma) also record crustal processes, but these are interpreted to be exogenous because they are well after the effective extinction of 26Al (t1/2 = 0.72 Myr). An origin via impact-resetting was evaluated with a suite of analytical impact models. Output shows that if a single impactor was responsible for the ca. 4530 Ma zircon ages, it had to have been ⩾10 km in diameter and at high enough velocity (>5 km s−1) to account for the thermal field required to re-set U–Pb ages. Such an impact would have penetrated at least 10 km into Vesta’s crust. Later events at ca. 4200 Ma are documented in HED apatite 235,238U–207,206Pb ages (Zhou, Q. et al. [2011]. Early basaltic volcanism and Late Heavy Bombardment on Vesta: U–Pb ages of small zircons and phosphates in eucrites. Lunar Planet. Sci. 42. Abstract #2575) and 40–39Ar age spectra (Bogard, D.D. [2011]. Chem. Erde 71, 207–226). Yet younger ages, including those coincident with the Late Heavy Bombardment (LHB; ca. 3900 Ma), are absent from Millbillillie zircon. This is attributable to primordial changes to the velocity distributions of impactors in the asteroid belt, and differences in mineral closure temperatures (Tc zircon ≫ apatite).

","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2014.08.025","usgsCitation":"Hopkins, M., Mojzsis, S., Bottke, W., and Abramov, O., 2015, Micrometer-scale U–Pb age domains in eucrite zircons, impact re-setting, and the thermal history of the HED parent body: Icarus, v. 245, p. 367-378, https://doi.org/10.1016/j.icarus.2014.08.025.","productDescription":"12 p.","startPage":"367","endPage":"378","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042684","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":322188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"245","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57569eb4e4b023b96ec28473","contributors":{"authors":[{"text":"Hopkins, M.D.","contributorId":170051,"corporation":false,"usgs":false,"family":"Hopkins","given":"M.D.","email":"","affiliations":[{"id":12481,"text":"Department of Geological Sciences, University of Colorado, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":631847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mojzsis, S.J.","contributorId":170052,"corporation":false,"usgs":false,"family":"Mojzsis","given":"S.J.","affiliations":[{"id":12481,"text":"Department of Geological Sciences, University of Colorado, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":631848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bottke, W.F.","contributorId":170053,"corporation":false,"usgs":false,"family":"Bottke","given":"W.F.","affiliations":[{"id":25663,"text":"Department of Space Studies, Southwest Research Institute, Boulder, Colo.","active":true,"usgs":false}],"preferred":false,"id":631849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abramov, Oleg oabramov@usgs.gov","contributorId":604,"corporation":false,"usgs":true,"family":"Abramov","given":"Oleg","email":"oabramov@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":631846,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70138628,"text":"70138628 - 2015 - Getting out of harm's way - evacuation from tsunamis","interactions":[],"lastModifiedDate":"2015-10-08T09:28:56","indexId":"70138628","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3431,"text":"Sound Waves: Coastal science and research news from across the USGS","active":true,"publicationSubtype":{"id":10}},"title":"Getting out of harm's way - evacuation from tsunamis","docAbstract":"

Scientists at the U.S. Geological Survey (USGS) have developed a new mapping tool, the Pedestrian Evacuation Analyst, for use by researchers and emergency managers to estimate how long it would take for someone to travel on foot out of a tsunami-hazard zone. The ArcGIS software extension, released in September 2014, allows the user to create maps showing travel times out of hazard zones and to determine the number of people that may or may not have enough time to evacuate. The maps take into account the elevation changes and the different types of land cover that a person would encounter along the way.

\n

Maps of travel time can be used by emergency managers and community planners to identify where to focus evacuation training and tsunami education. The tool can also be used to examine the potential benefits of vertical-evacuation structures, which are buildings or berms designed to provide a local high ground in low-lying areas of the hazard zone. 

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Jones, J.M., Wood, N.J., and Gordon, L.C., 2015, Getting out of harm's way - evacuation from tsunamis: Sound Waves: Coastal science and research news from across the USGS, v. 2015, no. Jan/Feb, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062204","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":309758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":309757,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://soundwaves.usgs.gov/2015/02/outreach2.html"}],"volume":"2015","issue":"Jan/Feb","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561793b5e4b0cdb063e3fb3d","contributors":{"authors":[{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":538877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":538878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, Leslie C. lgordon@usgs.gov","contributorId":4872,"corporation":false,"usgs":true,"family":"Gordon","given":"Leslie","email":"lgordon@usgs.gov","middleInitial":"C.","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":577013,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173565,"text":"70173565 - 2015 - Dispersal, movements and site fidelity of post-fledging King Eiders Somateria spectabilis and their attendant females","interactions":[],"lastModifiedDate":"2016-06-13T15:13:22","indexId":"70173565","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Dispersal, movements and site fidelity of post-fledging King Eiders Somateria spectabilis and their attendant females","docAbstract":"

Post-fledging dispersal and site fidelity are poorly understood, particularly for sea ducks that spend the majority of their annual cycle at sea. This is the first description of movements and their timing for first-year (juvenile) and second-year (subadult) King Eiders Somateria spectabilis in relation to their attendant females. We fitted satellite transmitters that operated for 2 years to 63 hatch-year birds and 17 attendant females at breeding areas in northern Alaska in 2006–2009. Our goals were to describe the spatio-temporal distribution of pre-breeding individuals and adult females that had been successful breeders. We also examined fidelity to wing moulting and wintering areas as well as natal philopatry. Juveniles did not appear to follow attendant adults, although they did winter in the same three general wintering areas, suggesting that genetic inheritance and social factors may have roles in the initial migration from the breeding area. Additionally, juveniles were more variable in the timing and duration of migration, moved longer distances during the winter, and were less faithful to moulting and wintering areas than adults, indicating that individual exploration and acquired navigational memory played a role in subsequent migrations. Most (75%) subadult females returned to natal areas, probably prospecting for future nesting sites, whereas subadult males were widely dispersed at sea. Timing and duration of moult migration and wing moult of adult females that were presumed to be successful breeders differed from those of unsuccessful breeders due to the extended time that the former spent on the breeding grounds. Temporal and spatial segregation of post-fledging King Eiders from adults has direct management implications in terms of resource development and population dynamics.

","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12217","usgsCitation":"Bentzen, R., and Powell, A.N., 2015, Dispersal, movements and site fidelity of post-fledging King Eiders Somateria spectabilis and their attendant females: Ibis, v. 157, no. 1, p. 133-146, https://doi.org/10.1111/ibi.12217.","productDescription":"14 p.","startPage":"133","endPage":"146","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037664","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"157","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"575fd92ce4b04f417c2baa0f","contributors":{"authors":[{"text":"Bentzen, Rebecca L.","contributorId":62070,"corporation":false,"usgs":true,"family":"Bentzen","given":"Rebecca L.","affiliations":[],"preferred":false,"id":638592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Abby N. 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":171426,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","middleInitial":"N.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637347,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}