The growing awareness of the environmental significance of fine-grained sediment fluxes through catchment systems continues to underscore the need for reliable information on the principal sources of this material. Source estimates are difficult to obtain using traditional monitoring techniques, but sediment source fingerprinting or tracing procedures, have emerged as a potentially valuable alternative. Despite the rapidly increasing numbers of studies reporting the use of sediment source fingerprinting, several key challenges and uncertainties continue to hamper consensus among the international scientific community on key components of the existing methodological procedures. Accordingly, this contribution reviews and presents recent developments for several key aspects of fingerprinting, namely: sediment source classification, catchment source and target sediment sampling, tracer selection, grain size issues, tracer conservatism, source apportionment modelling, and assessment of source predictions using artificial mixtures. Finally, a decision-tree representing the current state of knowledge is presented, to guide end-users in applying the fingerprinting approach.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.09.075","usgsCitation":"Collins, A., Pulley, S., Foster, I., Gellis, A.C., Porto, P., and Horowitz, A., 2017, Sediment source fingerprinting as an aid to catchment management: A review of the current state of knowledge and a methodological decision-tree for end-users: Journal of Environmental Management, v. 194, p. 86-108, https://doi.org/10.1016/j.jenvman.2016.09.075.","productDescription":"23 p.","startPage":"86","endPage":"108","ipdsId":"IP-077303","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":469789,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.09.075","text":"Publisher Index Page"},{"id":347325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"194","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f4f","contributors":{"authors":[{"text":"Collins, A.L","contributorId":197685,"corporation":false,"usgs":false,"family":"Collins","given":"A.L","affiliations":[],"preferred":false,"id":714084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pulley, S.","contributorId":197686,"corporation":false,"usgs":false,"family":"Pulley","given":"S.","email":"","affiliations":[],"preferred":false,"id":714085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, I.D.L","contributorId":197687,"corporation":false,"usgs":false,"family":"Foster","given":"I.D.L","affiliations":[],"preferred":false,"id":714086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porto, P.","contributorId":197688,"corporation":false,"usgs":false,"family":"Porto","given":"P.","email":"","affiliations":[],"preferred":false,"id":714087,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horowitz, A.J.","contributorId":197689,"corporation":false,"usgs":false,"family":"Horowitz","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":714088,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188879,"text":"70188879 - 2017 - Assessing changes in the physico-chemical properties and fluoride adsorption capacity of activated alumina under varied conditions","interactions":[],"lastModifiedDate":"2017-06-27T09:49:15","indexId":"70188879","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","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":"Assessing changes in the physico-chemical properties and fluoride adsorption capacity of activated alumina under varied conditions","docAbstract":"Adsorption using activated alumina is a simple method for removing fluoride from drinking water, but to be cost effective the adsorption capacity must be high and effective long-term. The intent of this study was to assess changes in its adsorption capacity under varied conditions. This was determined by evaluating the physico-chemical properties, surface charge, and fluoride (F−) adsorption capacity and rate of activated alumina under conditions such as hydration period, particle size, and slow vs. fast titrations. X-ray diffraction and scanning electron microscopy analyses show that the mineralogy of activated alumina transformed to boehmite, then bayerite with hydration period and a corresponding reduction in adsorption capacity was expected; while surface area analyses show no notable changes with hydration period or particle size. The pH dependent surface charge was three times higher using slow potentiometric titrations as compared to fast titrations (due largely to diffusion into pore space), with the surface acidity generally unaffected by hydration period. Results from batch adsorption experiments similarly show no change in fluoride adsorption capacity with hydration period. There was also no notable difference in fluoride adsorption capacity between the particle size ranges of 0.5–1.0 mm and 0.125–0.250 mm, or with hydration period. However, adsorption rate increased dramatically with the finer particle sizes: at an initial F− concentration of 0.53 mmol L−1 (10 mg L−1), 90% was adsorbed in the 0.125–0.250 mm range after 1 h, while the 0.5–1.0 mm range required 24 h to achieve 90% adsorption. Also, the pseudo-second-order adsorption rate constants for the finer vs. larger particle sizes were 3.7 and 0.5 g per mmol F− per min respectively (24 h); and the initial intraparticle diffusion rate of the former was 2.6 times faster than the latter. The results show that adsorption capacity of activated alumina remains consistent and high under the conditions evaluated in this study, but in order to increase adsorption rate, a relatively fine particle size is recommended.
The aerodynamic roughness length (Z0 m) serves an important role in the flux exchange between the land surface and atmosphere. In this study, airborne lidar (ALS), terrestrial lidar (TLS), and imaging spectroscopy data were integrated to develop and test two approaches to estimate Z0 m over a shrub dominated dryland study area in south-central Idaho, USA. Sensitivity of the two parameterization methods to estimate Z0 m was analyzed. The comparison of eddy covariance-derived Z0 m and remote sensing-derived Z0 m showed that the accuracy of the estimated Z0 m heavily depends on the estimation model and the representation of shrub (e.g., Artemisia tridentata subsp. wyomingensis) height in the models. The geometrical method (RA1994) led to 9 percent (~0.5 cm) and 25% (~1.1 cm) errors at site 1 and site 2, respectively, which performed better than the height variability-based method (MR1994) with bias error of 20 percent and 48 percent at site 1 and site 2, respectively. The RA1994 model resulted in a larger range of Z0 m than the MR1994 method. We also found that the mean, median and 75th percentiles of heights (H75) from ALS provides the best Z0 m estimates in the MR1994 model, while the mean, median, and MLD (Median Absolute Deviation from Median Height), as well as AAD (Mean Absolute Deviation from Mean Height) heights from ALS provides the best Z0 m estimates in the RA1994 model. In addition, the fractional cover of shrub and grass, distinguished with ALS and imaging spectroscopy data, provided the opportunity to estimate the frontal area index at the pixel-level to assess the influence of grass and shrub on Z0m estimates in the RA1994 method. Results indicate that grass had little effect on Z0 m in the RA1994 method. The Z0 m estimations were tightly coupled with vegetation height and its local variance for the shrubs. Overall, the results demonstrate that the use of height and fractional cover from remote sensing data are promising for estimating Z0 m, and thus refining land surface models at regional scales in semiarid shrublands.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.83.6.415","usgsCitation":"Li, A., Zhao, W., Mitchell, J., Glenn, N.F., Germino, M., Sankey, J.B., and Allen, R.M., 2017, Aerodynamic roughness length estimation with lidar and imaging spectroscopy in a shrub-dominated dryland: Photogrammetric Engineering and Remote Sensing, v. 83, no. 6, p. 415-427, https://doi.org/10.14358/PERS.83.6.415.","productDescription":"13 p.","startPage":"415","endPage":"427","ipdsId":"IP-080636","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.83.6.415","text":"Publisher Index Page"},{"id":344452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.90576171874999,\n 42.09822241118974\n ],\n [\n -112.1044921875,\n 42.09822241118974\n ],\n [\n -112.1044921875,\n 44.315987905196906\n ],\n [\n -115.90576171874999,\n 44.315987905196906\n ],\n [\n -115.90576171874999,\n 42.09822241118974\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59804199e4b0a38ca2789336","contributors":{"authors":[{"text":"Li, Aihua","contributorId":169445,"corporation":false,"usgs":false,"family":"Li","given":"Aihua","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":706603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Wenguang","contributorId":195243,"corporation":false,"usgs":false,"family":"Zhao","given":"Wenguang","email":"","affiliations":[],"preferred":false,"id":706607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Jessica J","contributorId":195242,"corporation":false,"usgs":false,"family":"Mitchell","given":"Jessica J","affiliations":[],"preferred":false,"id":706605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Nancy F.","contributorId":195241,"corporation":false,"usgs":false,"family":"Glenn","given":"Nancy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":706604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":706602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, Richard M.","contributorId":195244,"corporation":false,"usgs":false,"family":"Allen","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":706608,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192187,"text":"70192187 - 2017 - Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change","interactions":[],"lastModifiedDate":"2017-10-23T13:41:14","indexId":"70192187","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change","docAbstract":"The degree to which cloud immersion provides water in addition to rainfall, suppresses transpiration, and sustains tropical montane cloud forests (TMCFs) during rainless periods is not well understood. Climate and land use changes represent a threat to these forests if cloud base altitude rises as a result of regional warming or deforestation. To establish a baseline for quantifying future changes in cloud base, we installed a ceilometer at 100 m altitude in the forest upwind of the TMCF that occupies an altitude range from ∼ 600 m to the peaks at 1100 m in the Luquillo Mountains of eastern Puerto Rico. Airport Automated Surface Observing System (ASOS) ceilometer data, radiosonde data, and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite data were obtained to investigate seasonal cloud base dynamics, altitude of the trade-wind inversion (TWI), and typical cloud thickness for the surrounding Caribbean region. Cloud base is rarely quantified near mountains, so these results represent a first look at seasonal and diurnal cloud base dynamics for the TMCF. From May 2013 to August 2016, cloud base was lowest during the midsummer dry season, and cloud bases were lower than the mountaintops as often in the winter dry season as in the wet seasons. The lowest cloud bases most frequently occurred at higher elevation than 600 m, from 740 to 964 m. The Luquillo forest low cloud base altitudes were higher than six other sites in the Caribbean by ∼ 200–600 m, highlighting the importance of site selection to measure topographic influence on cloud height. Proximity to the oceanic cloud system where shallow cumulus clouds are seasonally invariant in altitude and cover, along with local trade-wind orographic lifting and cloud formation, may explain the dry season low clouds. The results indicate that climate change threats to low-elevation TMCFs are not limited to the dry season; changes in synoptic-scale weather patterns that increase frequency of drought periods during the wet seasons (periods of higher cloud base) may also impact ecosystem health.
","language":"English","publisher":"European Geophysical Union","doi":"10.5194/acp-17-7245-2017","usgsCitation":"Van Beusekom, A.E., Gonzalez, G., and Scholl, M.A., 2017, Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change: Atmospheric Chemistry and Physics, v. 17, no. 11, p. 7245-7259, https://doi.org/10.5194/acp-17-7245-2017.","productDescription":"15 p.","startPage":"7245","endPage":"7259","ipdsId":"IP-084476","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469802,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-17-7245-2017","text":"Publisher Index Page"},{"id":347125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Luquillo Mountains, Puerto Rico","volume":"17","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-16","publicationStatus":"PW","scienceBaseUri":"59eeffa8e4b0220bbd988f9c","contributors":{"authors":[{"text":"Van Beusekom, Ashley E.","contributorId":197950,"corporation":false,"usgs":false,"family":"Van Beusekom","given":"Ashley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Grizelle","contributorId":191117,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","email":"","affiliations":[],"preferred":false,"id":714641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":714639,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188990,"text":"70188990 - 2017 - Can wolves help save Japan's mountain forests?","interactions":[],"lastModifiedDate":"2017-06-28T14:50:34","indexId":"70188990","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2093,"text":"International Wolf","active":true,"publicationSubtype":{"id":10}},"title":"Can wolves help save Japan's mountain forests?","docAbstract":"Japan’s wolves were extinct by 1905. Today Japan's mountain forests are being killed by overabundant sika deer and wild boars. Since the early 1990s, the Japan Wolf Association has proposed wolf reintroduction to Japan to restore rural ecology and to return a culturally important animal. In this article I discuss whether the return of wolves could help save Japan's mountain forests.","language":"English","publisher":"International Wolf Center","usgsCitation":"Barber-Meyer, S., 2017, Can wolves help save Japan's mountain forests?: International Wolf, v. Summer 2017, p. 30-31.","productDescription":"2 p.","startPage":"30","endPage":"31","ipdsId":"IP-081236","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":343085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343078,"type":{"id":15,"text":"Index Page"},"url":"https://www.wolf.org/wolf-info/wolf-magazine/"}],"volume":"Summer 2017","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1d2e4b0d1f9f05b37b4","contributors":{"authors":[{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":191875,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":702293,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70190145,"text":"70190145 - 2017 - Biogenic non-crystalline U(IV) revealed as major component in uranium ore deposits","interactions":[],"lastModifiedDate":"2017-08-11T18:01:21","indexId":"70190145","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Biogenic non-crystalline U(IV) revealed as major component in uranium ore deposits","title":"Biogenic non-crystalline U(IV) revealed as major component in uranium ore deposits","docAbstract":"Historically, it is believed that crystalline uraninite, produced via the abiotic reduction of hexavalent uranium (U(VI)) is the dominant reduced U species formed in low-temperature uranium roll-front ore deposits. Here we show that non-crystalline U(IV) generated through biologically mediated U(VI) reduction is the predominant U(IV) species in an undisturbed U roll-front ore deposit in Wyoming, USA. Characterization of U species revealed that the majority (∼58-89%) of U is bound as U(IV)to C-containing organic functional groups or inorganic carbonate, while uraninite and U(VI) represent only minor components. The uranium deposit exhibited mostly 238U-enriched isotope signatures, consistent with largely biotic reduction of U(VI) to U(IV). This finding implies that biogenic processes are more important to uranium ore genesis than previously understood. The predominance of a relatively labile form of U(IV) also provides an opportunity for a more economical and environmentally benign mining process, as well as the design of more effective post-mining restoration strategies and human health-risk assessment.
","language":"English","publisher":"Nature Publishing","doi":"10.1038/ncomms15538","usgsCitation":"Bhattacharyya, A., Campbell, K.M., Kelly, S., Roebbert, Y., Weyer, S., Bernier-Latmani, R., and Borch, T., 2017, Biogenic non-crystalline U(IV) revealed as major component in uranium ore deposits: Nature Communications, v. 8, Article: 15538: 8 p., https://doi.org/10.1038/ncomms15538.","productDescription":"Article: 15538: 8 p.","ipdsId":"IP-081351","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469805,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms15538","text":"Publisher Index Page"},{"id":344769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"598e9065e4b09fa1cb160974","contributors":{"authors":[{"text":"Bhattacharyya, Amrita","contributorId":195626,"corporation":false,"usgs":false,"family":"Bhattacharyya","given":"Amrita","email":"","affiliations":[],"preferred":false,"id":707685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Shelly","contributorId":195627,"corporation":false,"usgs":false,"family":"Kelly","given":"Shelly","email":"","affiliations":[],"preferred":false,"id":707686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roebbert, Yvonne","contributorId":195628,"corporation":false,"usgs":false,"family":"Roebbert","given":"Yvonne","email":"","affiliations":[],"preferred":false,"id":707687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weyer, Stefan","contributorId":195629,"corporation":false,"usgs":false,"family":"Weyer","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":707688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bernier-Latmani, Rizlan","contributorId":195630,"corporation":false,"usgs":false,"family":"Bernier-Latmani","given":"Rizlan","email":"","affiliations":[],"preferred":false,"id":707689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borch, Thomas","contributorId":195631,"corporation":false,"usgs":false,"family":"Borch","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":707690,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196784,"text":"70196784 - 2017 - Forecasted range shifts of arid-land fishes in response to climate change","interactions":[],"lastModifiedDate":"2021-06-04T15:37:31.242636","indexId":"70196784","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Forecasted range shifts of arid-land fishes in response to climate change","docAbstract":"Climate change is poised to alter the distributional limits, center, and size of many species. Traits may influence different aspects of range shifts, with trophic generality facilitating shifts at the leading edge, and greater thermal tolerance limiting contractions at the trailing edge. The generality of relationships between traits and range shifts remains ambiguous however, especially for imperiled fishes residing in xeric riverscapes. Our objectives were to quantify contemporary fish distributions in the Lower Colorado River Basin, forecast climate change by 2085 using two general circulation models, and quantify shifts in the limits, center, and size of fish elevational ranges according to fish traits. We examined relationships among traits and range shift metrics either singly using univariate linear modeling or combined with multivariate redundancy analysis. We found that trophic and dispersal traits were associated with shifts at the leading and trailing edges, respectively, although projected range shifts were largely unexplained by traits. As expected, piscivores and omnivores with broader diets shifted upslope most at the leading edge while more specialized invertivores exhibited minimal changes. Fishes that were more mobile shifted upslope most at the trailing edge, defying predictions. No traits explained changes in range center or size. Finally, current preference explained multivariate range shifts, as fishes with faster current preferences exhibited smaller multivariate changes. Although range shifts were largely unexplained by traits, more specialized invertivorous fishes with lower dispersal propensity or greater current preference may require the greatest conservation efforts because of their limited capacity to shift ranges under climate change.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-017-9479-9","usgsCitation":"Whitney, J.E., Whittier, J.B., Paukert, C.P., Olden, J., and Strecker, A.L., 2017, Forecasted range shifts of arid-land fishes in response to climate change: Reviews in Fish Biology and Fisheries, v. 27, no. 2, p. 463-479, https://doi.org/10.1007/s11160-017-9479-9.","productDescription":"17 p.","startPage":"463","endPage":"479","ipdsId":"IP-076776","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-09","publicationStatus":"PW","scienceBaseUri":"5afee86ce4b0da30c1bfc447","contributors":{"authors":[{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":734386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":734387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":734381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":734388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strecker, Angela L.","contributorId":43256,"corporation":false,"usgs":true,"family":"Strecker","given":"Angela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":734389,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196587,"text":"70196587 - 2017 - Quantile regression of microgeographic variation in population characteristics of an invasive vertebrate predator","interactions":[],"lastModifiedDate":"2018-04-19T09:45:54","indexId":"70196587","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Quantile regression of microgeographic variation in population characteristics of an invasive vertebrate predator","docAbstract":"Localized ecological conditions have the potential to induce variation in population characteristics such as size distributions and body conditions. The ability to generalize the influence of ecological characteristics on such population traits may be particularly meaningful when those traits influence prospects for successful management interventions. To characterize variability in invasive Brown Treesnake population attributes within and among habitat types, we conducted systematic and seasonally-balanced surveys, collecting 100 snakes from each of 18 sites: three replicates within each of six major habitat types comprising 95% of Guam’s geographic expanse. Our study constitutes one of the most comprehensive and controlled samplings of any published snake study. Quantile regression on snake size and body condition indicated significant ecological heterogeneity, with a general trend of relative consistency of size classes and body conditions within and among scrub and Leucaena forest habitat types and more heterogeneity among ravine forest, savanna, and urban residential sites. Larger and more robust snakes were found within some savanna and urban habitat replicates, likely due to relative availability of larger prey. Compared to more homogeneous samples in the wet season, variability in size distributions and body conditions was greater during the dry season. Although there is evidence of habitat influencing Brown Treesnake populations at localized scales (e.g., the higher prevalence of larger snakes—particularly males—in savanna and urban sites), the level of variability among sites within habitat types indicates little ability to make meaningful predictions about these traits at unsampled locations. Seasonal variability within sites and habitats indicates that localized population characterization should include sampling in both wet and dry seasons. Extreme values at single replicates occasionally influenced overall habitat patterns, while pooling replicates masked variability among sites. A full understanding of population characteristics should include an assessment of variability both at the site and habitat level.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0177671","usgsCitation":"Siers, S.R., Savidge, J.A., and Reed, R., 2017, Quantile regression of microgeographic variation in population characteristics of an invasive vertebrate predator: PLoS ONE, v. 12, no. 6, p. 1-19, https://doi.org/10.1371/journal.pone.0177671.","productDescription":"e0177671; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-083442","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0177671","text":"Publisher Index Page"},{"id":353601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 144.6075439453125,\n 13.239945499286312\n ],\n [\n 144.95773315429685,\n 13.239945499286312\n ],\n [\n 144.95773315429685,\n 13.657997240451978\n ],\n [\n 144.6075439453125,\n 13.657997240451978\n ],\n [\n 144.6075439453125,\n 13.239945499286312\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"5afee86ce4b0da30c1bfc449","contributors":{"authors":[{"text":"Siers, Shane R.","contributorId":152305,"corporation":false,"usgs":false,"family":"Siers","given":"Shane","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":733714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savidge, Julie A.","contributorId":175196,"corporation":false,"usgs":false,"family":"Savidge","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":733715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":733713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189556,"text":"70189556 - 2017 - Mangrove species' responses to winter air temperature extremes in China","interactions":[],"lastModifiedDate":"2017-07-17T11:15:43","indexId":"70189556","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove species' responses to winter air temperature extremes in China","docAbstract":"The global distribution and diversity of mangrove forests is greatly influenced by the frequency and intensity of winter air temperature extremes. However, our understanding of how different mangrove species respond to winter temperature extremes has been lacking because extreme freezing and chilling events are, by definition, relatively uncommon and also difficult to replicate experimentally. In this study, we investigated species-specific variation in mangrove responses to winter temperature extremes in China. In 10 sites that span a latitudinal gradient, we quantified species-specific damage and recovery following a chilling event, for mangrove species within and outside of their natural range (i.e., native and non-native species, respectively). To characterize plant stress, we measured tree defoliation and chlorophyll fluorescence approximately one month following the chilling event. To quantify recovery, we measured chlorophyll fluorescence approximately nine months after the chilling event. Our results show high variation in the geographic- and species-specific responses of mangroves to winter temperature extremes. While many species were sensitive to the chilling temperatures (e.g., Bruguiera sexangula and species in the Sonneratia and Rhizophora genera), the temperatures during this event were not cold enough to affect certain species (e.g., Kandelia obovata, Aegiceras corniculatum, Avicennia marina, and Bruguiera gymnorrhiza). As expected, non-native species were less tolerant of winter temperature extremes than native species. Interestingly, tidal inundation modulated the effects of chilling. In comparison with other temperature-controlled mangrove range limits across the world, the mangrove range limit in China is unique due to the combination of the following three factors: (1) Mangrove species diversity is comparatively high; (2) winter air temperature extremes, rather than means, are particularly intense and play an important ecological role; and (3) due to afforestation and restoration efforts, several species of non-native mangroves have been introduced beyond their natural range limits. Hence, from a global perspective, mangroves in China provide valuable opportunities to advance understanding of the effects of freezing and chilling temperatures on mangroves. Within the context of climate change, our findings provide a foundation for better understanding and preparing for mangrove species-specific responses to future changes in the duration and intensity of winter temperature extremes.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1865","usgsCitation":"Chen, L., Wang, W., Li, Q.Q., Zhang, Y., Yang, S., Osland, M.J., Huang, J., and Peng, C., 2017, Mangrove species' responses to winter air temperature extremes in China: Ecosphere, v. 8, no. 6, e01865; 14 p., https://doi.org/10.1002/ecs2.1865.","productDescription":"e01865; 14 p.","ipdsId":"IP-080209","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469807,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1865","text":"Publisher Index Page"},{"id":343935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"596dcca2e4b0d1f9f062755a","contributors":{"authors":[{"text":"Chen, Luzhen","contributorId":194706,"corporation":false,"usgs":false,"family":"Chen","given":"Luzhen","email":"","affiliations":[],"preferred":false,"id":705160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Wenqing","contributorId":194707,"corporation":false,"usgs":false,"family":"Wang","given":"Wenqing","email":"","affiliations":[],"preferred":false,"id":705161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Qingshun Q.","contributorId":194708,"corporation":false,"usgs":false,"family":"Li","given":"Qingshun","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":705162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Yihui","contributorId":194709,"corporation":false,"usgs":false,"family":"Zhang","given":"Yihui","email":"","affiliations":[],"preferred":false,"id":705163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Shengchang","contributorId":194710,"corporation":false,"usgs":false,"family":"Yang","given":"Shengchang","email":"","affiliations":[],"preferred":false,"id":705164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":705159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Jinliang","contributorId":194712,"corporation":false,"usgs":false,"family":"Huang","given":"Jinliang","email":"","affiliations":[],"preferred":false,"id":705166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peng, Congjiao","contributorId":194711,"corporation":false,"usgs":false,"family":"Peng","given":"Congjiao","email":"","affiliations":[],"preferred":false,"id":705165,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192904,"text":"70192904 - 2017 - Precision and accuracy of age estimates obtained from anal fin spines, dorsal fin spines, and sagittal otoliths for known-age largemouth bass","interactions":[],"lastModifiedDate":"2017-11-07T13:02:14","indexId":"70192904","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Precision and accuracy of age estimates obtained from anal fin spines, dorsal fin spines, and sagittal otoliths for known-age largemouth bass","docAbstract":"Sagittal otoliths are the preferred aging structure for Micropterus spp. (black basses) in North America because of the accurate and precise results produced. Typically, fisheries managers are hesitant to use lethal aging techniques (e.g., otoliths) to age rare species, trophy-size fish, or when sampling in small impoundments where populations are small. Therefore, we sought to evaluate the precision and accuracy of 2 non-lethal aging structures (i.e., anal fin spines, dorsal fin spines) in comparison to that of sagittal otoliths from known-age Micropterus salmoides (Largemouth Bass; n = 87) collected from the Ocmulgee Public Fishing Area, GA. Sagittal otoliths exhibited the highest concordance with true ages of all structures evaluated (coefficient of variation = 1.2; percent agreement = 91.9). Similarly, the low coefficient of variation (0.0) and high between-reader agreement (100%) indicate that age estimates obtained from sagittal otoliths were the most precise. Relatively high agreement between readers for anal fin spines (84%) and dorsal fin spines (81%) suggested the structures were relatively precise. However, age estimates from anal fin spines and dorsal fin spines exhibited low concordance with true ages. Although use of sagittal otoliths is a lethal technique, this method will likely remain the standard for aging Largemouth Bass and other similar black bass species.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.016.0209","usgsCitation":"Klein, Z.B., Bonvechio, T.F., Bowen, B.R., and Quist, M.C., 2017, Precision and accuracy of age estimates obtained from anal fin spines, dorsal fin spines, and sagittal otoliths for known-age largemouth bass: Southeastern Naturalist, v. 16, no. 2, p. 225-234, https://doi.org/10.1656/058.016.0209.","productDescription":"10 p.","startPage":"225","endPage":"234","ipdsId":"IP-081472","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5a07e8dee4b09af898c8cbc7","contributors":{"authors":[{"text":"Klein, Zachary B.","contributorId":171709,"corporation":false,"usgs":false,"family":"Klein","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":717337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonvechio, Timothy F.","contributorId":174468,"corporation":false,"usgs":false,"family":"Bonvechio","given":"Timothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":717338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Bryant R.","contributorId":198841,"corporation":false,"usgs":false,"family":"Bowen","given":"Bryant","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717336,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191864,"text":"70191864 - 2017 - Re-Os systematics and geochemistry of cobaltite (CoAsS) in the Idaho cobalt belt, Belt-Purcell Basin, USA: Evidence for middle Mesoproterozoic sediment-hosted Co-Cu sulfide mineralization with Grenvillian and Cretaceous remobilization","interactions":[],"lastModifiedDate":"2017-10-18T14:54:12","indexId":"70191864","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Re-Os systematics and geochemistry of cobaltite (CoAsS) in the Idaho cobalt belt, Belt-Purcell Basin, USA: Evidence for middle Mesoproterozoic sediment-hosted Co-Cu sulfide mineralization with Grenvillian and Cretaceous remobilization","docAbstract":"We report the first study of the Re-Os systematics of cobaltite (CoAsS) using disseminated grains and massive sulfides from samples of two breccia-type and two stratabound deposits in the Co-Cu-Au Idaho cobalt belt (ICB), Lemhi subbasin to the Belt-Purcell Basin, Idaho, USA. Using a 185Re + 190Os spike solution, magnetic and non-magnetic fractions of cobaltite mineral separates give reproducible Re-Os analytical data for aliquot sizes of 150 to 200 mg. Cobaltite from the ICB has highly radiogenic 187Os/188Os ratios (17–45) and high 187Re/188Os ratios (600–1800) but low Re and total Os contents (ca. 0.4–4 ppb and 14–64 ppt, respectively). Containing 30 to 74% radiogenic 187Os, cobaltite from the ICB is amenable to Re-Os age determination using the isochron regression approach.
Re-Os data for disseminated cobaltite mineralization in a quartz-tourmaline breccia from the Haynes-Stellite deposit yield a Model 1 isochron age of 1349 ± 76 Ma (2σ, n = 4, mean squared weighted deviation MSWD = 2.1, initial 187Os/188Os ratio = 4.7 ± 2.2). This middle Mesoproterozoic age is preserved despite a possible metamorphic overprint or a pulse of metamorphic-hydrothermal remobilization of pre-existing cobaltite that formed along fold cleavages during the ca. 1190–1006 Ma Grenvillian orogeny. This phase of remobilization is tentatively identified by a Model 3 isochron age of 1132 ± 240 Ma (2σ, n = 7, MSWD = 9.3, initial 187Os/188Os ratio of 9.0 ± 2.9) for cobaltite in the quartz-tourmaline breccia from the Idaho zone in the Blackbird mine.
All Mesoproterozoic cobaltite mineralization in the district was affected by greenschist- to lower amphibolite-facies (garnet zone) metamorphism during the Late Jurassic to Late Cretaceous Cordilleran orogeny. However, the fine- to coarse-grained massive cobaltite mineralization from the shear zone-hosted Chicago zone, Blackbird mine, is the only studied deposit that has severely disturbed Re-Os systematics with evidence for a linear trend of mixing with (metamorphic?) fluids.
The new Re-Os ages and extremely high initial 187Os/188Os ratios of cobaltite reported here favor a magmatic-hydrothermal genetic model for a multi-stage REE-Y-Co-Cu-Au mineralization occurring at ca. 1370 to 1349 Ma, and related to the emplacement of the Big Deer Creek granite pluton at ca. 1377 Ma. In our model, deposition of paragenetically early xenotime and gadolinite was followed by an influx of Mesoproterozoic evaporitic brines and magmatic-hydrothermal fluids containing metals and reduced sulfur derived from mafic and oceanic island-arc Archean to Paleoproterozoic rocks in the Laurentian basement. Cobaltite mineralization occurred upon cooling of these fluids at an inferred temperature of 300 °C or below.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2017.02.032","usgsCitation":"Saintilan, N., Creaser, R., and Bookstrom, A.A., 2017, Re-Os systematics and geochemistry of cobaltite (CoAsS) in the Idaho cobalt belt, Belt-Purcell Basin, USA: Evidence for middle Mesoproterozoic sediment-hosted Co-Cu sulfide mineralization with Grenvillian and Cretaceous remobilization: Ore Geology Reviews, v. 86, p. 509-525, https://doi.org/10.1016/j.oregeorev.2017.02.032.","productDescription":"17 p.","startPage":"509","endPage":"525","ipdsId":"IP-081448","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469801,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2017.02.032","text":"Publisher Index Page"},{"id":346892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Belt-Purcell Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.5,\n 44.9\n ],\n [\n -114,\n 44.9\n ],\n [\n -114,\n 45.5\n ],\n [\n -114.5,\n 45.5\n ],\n [\n -114.5,\n 44.9\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"86","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86836e4b05fe04cd4d1f8","contributors":{"authors":[{"text":"Saintilan, N.J.","contributorId":197409,"corporation":false,"usgs":false,"family":"Saintilan","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":713445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creaser, R.A.","contributorId":197410,"corporation":false,"usgs":false,"family":"Creaser","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":713447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bookstrom, Arthur A. 0000-0003-1336-3364 abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":713446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191606,"text":"70191606 - 2017 - Finite‐fault Bayesian inversion of teleseismic body waves","interactions":[],"lastModifiedDate":"2017-10-17T15:00:45","indexId":"70191606","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Finite‐fault Bayesian inversion of teleseismic body waves","docAbstract":"Inverting geophysical data has provided fundamental information about the behavior of earthquake rupture. However, inferring kinematic source model parameters for finite‐fault ruptures is an intrinsically underdetermined problem (the problem of nonuniqueness), because we are restricted to finite noisy observations. Although many studies use least‐squares techniques to make the finite‐fault problem tractable, these methods generally lack the ability to apply non‐Gaussian error analysis and the imposition of nonlinear constraints. However, the Bayesian approach can be employed to find a Gaussian or non‐Gaussian distribution of all probable model parameters, while utilizing nonlinear constraints. We present case studies to quantify the resolving power and associated uncertainties using only teleseismic body waves in a Bayesian framework to infer the slip history for a synthetic case and two earthquakes: the 2011 Mw 7.1 Van, east Turkey, earthquake and the 2010 Mw 7.2 El Mayor–Cucapah, Baja California, earthquake. In implementing the Bayesian method, we further present two distinct solutions to investigate the uncertainties by performing the inversion with and without velocity structure perturbations. We find that the posterior ensemble becomes broader when including velocity structure variability and introduces a spatial smearing of slip. Using the Bayesian framework solely on teleseismic body waves, we find rake is poorly constrained by the observations and rise time is poorly resolved when slip amplitude is low.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160268","usgsCitation":"Clayton, B., Hartzell, S.H., Moschetti, M.P., and Minson, S.E., 2017, Finite‐fault Bayesian inversion of teleseismic body waves: Bulletin of the Seismological Society of America, v. 107, no. 3, p. 1526-1544, https://doi.org/10.1785/0120160268.","productDescription":"19 p.","startPage":"1526","endPage":"1544","ipdsId":"IP-083374","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-28","publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd331a5","contributors":{"authors":[{"text":"Clayton, Brandon 0000-0003-0502-7184 bclayton@usgs.gov","orcid":"https://orcid.org/0000-0003-0502-7184","contributorId":197196,"corporation":false,"usgs":true,"family":"Clayton","given":"Brandon","email":"bclayton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712862,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192098,"text":"70192098 - 2017 - Calculation of in situ acoustic sediment attenuation using off-the-shelf horizontal ADCPs in low concentration settings","interactions":[],"lastModifiedDate":"2017-10-23T15:30:30","indexId":"70192098","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Calculation of in situ acoustic sediment attenuation using off-the-shelf horizontal ADCPs in low concentration settings","docAbstract":"The use of “off-the-shelf” acoustic Doppler velocity profilers (ADCPs) to estimate suspended sediment concentration and grain-size in rivers requires robust methods to estimate sound attenuation by suspended sediment. Theoretical estimates of sediment attenuation require a priori knowledge of the concentration and grain-size distribution (GSD), making the method impractical to apply in routine monitoring programs. In situ methods use acoustic backscatter profile slope to estimate sediment attenuation, and are a more attractive option. However, the performance of in situ sediment attenuation methods has not been extensively compared to theoretical methods. We used three collocated horizontally mounted ADCPs in the Fraser River at Mission, British Columbia and 298 observations of concentration and GSD along the acoustic beams to calculate theoretical and in situ sediment attenuation. Conversion of acoustic intensity from counts to decibels is influenced by the instrument noise floor, which affects the backscatter profile shape and therefore in situ attenuation. We develop a method that converts counts to decibels to maximize profile length, which is useful in rivers where cross-channel acoustic profile penetration is a fraction of total channel width. Nevertheless, the agreement between theoretical and in situ attenuation is poor at low concentrations because cross-stream gradients in concentration, sediment size or GSD can develop, which affect the backscatter profiles. We establish threshold concentrations below which in situ attenuation is unreliable in Fraser River. Our results call for careful examination of cross-stream changes in suspended sediment characteristics and acoustic profiles across a range of flows before in situ attenuation methods are applied in river monitoring programs.
","language":"English","publisher":"AGU","doi":"10.1002/2016WR019695","usgsCitation":"Haught, D., Venditti, J., and Wright, S., 2017, Calculation of in situ acoustic sediment attenuation using off-the-shelf horizontal ADCPs in low concentration settings: Water Resources Research, v. 53, no. 6, p. 5017-5037, https://doi.org/10.1002/2016WR019695.","productDescription":"21 p.","startPage":"5017","endPage":"5037","ipdsId":"IP-087639","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":347160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"59eeffa8e4b0220bbd988fa3","contributors":{"authors":[{"text":"Haught, Dan","contributorId":149407,"corporation":false,"usgs":false,"family":"Haught","given":"Dan","affiliations":[],"preferred":false,"id":714226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Venditti, Jeremy G. 0000-0002-2876-4251","orcid":"https://orcid.org/0000-0002-2876-4251","contributorId":197757,"corporation":false,"usgs":false,"family":"Venditti","given":"Jeremy G.","affiliations":[],"preferred":false,"id":714227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714225,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192752,"text":"70192752 - 2017 - Harvest and group effects on pup survival in a cooperative breeder","interactions":[],"lastModifiedDate":"2017-11-08T12:53:18","indexId":"70192752","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Harvest and group effects on pup survival in a cooperative breeder","docAbstract":"Recruitment in cooperative breeders can be negatively affected by changes in group size and composition. The majority of cooperative breeding studies have not evaluated human harvest; therefore, the effects of recurring annual harvest and group characteristics on survival of young are poorly understood. We evaluated how harvest and groups affect pup survival using genetic sampling and pedigrees for grey wolves in North America. We hypothesized that harvest reduces pup survival because of (i) reduced group size, (ii) increased breeder turnover and/or (iii) reduced number of female helpers. Alternatively, harvest may increase pup survival possibly due to increased per capita food availability or it could be compensatory with other forms of mortality. Harvest appeared to be additive because it reduced both pup survival and group size. In addition to harvest, turnover of breeding males and the presence of older, non-breeding males also reduced pup survival. Large groups and breeder stability increased pup survival when there was harvest, however. Inferences about the effect of harvest on recruitment require knowledge of harvest rate of young as well as the indirect effects associated with changes in group size and composition, as we show. The number of young harvested is a poor measure of the effect of harvest on recruitment in cooperative breeders.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2017.0580","usgsCitation":"Ausband, D.E., Mitchell, M.S., Stansbury, C.R., Stenglein, J., and Waits, L.P., 2017, Harvest and group effects on pup survival in a cooperative breeder: Proceedings of the Royal Society B: Biological Sciences, v. 284, no. 1855, Article 20170580, https://doi.org/10.1098/rspb.2017.0580.","productDescription":"Article 20170580","ipdsId":"IP-076152","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2017.0580","text":"Publisher Index Page"},{"id":348448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1855","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"5a0425b7e4b0dc0b45b45360","contributors":{"authors":[{"text":"Ausband, David E.","contributorId":198687,"corporation":false,"usgs":false,"family":"Ausband","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stansbury, Carisa R.","contributorId":200150,"corporation":false,"usgs":false,"family":"Stansbury","given":"Carisa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stenglein, Jennifer L.","contributorId":63146,"corporation":false,"usgs":true,"family":"Stenglein","given":"Jennifer L.","affiliations":[],"preferred":false,"id":721145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721146,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192634,"text":"70192634 - 2017 - Reflected stochastic differential equation models for constrained animal movement","interactions":[],"lastModifiedDate":"2018-02-14T14:17:57","indexId":"70192634","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Reflected stochastic differential equation models for constrained animal movement","docAbstract":"Movement for many animal species is constrained in space by barriers such as rivers, shorelines, or impassable cliffs. We develop an approach for modeling animal movement constrained in space by considering a class of constrained stochastic processes, reflected stochastic differential equations. Our approach generalizes existing methods for modeling unconstrained animal movement. We present methods for simulation and inference based on augmenting the constrained movement path with a latent unconstrained path and illustrate this augmentation with a simulation example and an analysis of telemetry data from a Steller sea lion (Eumatopias jubatus) in southeast Alaska.
","language":"English","publisher":"Springer","doi":"10.1101/152017","usgsCitation":"Hanks, E.M., Johnson, D., and Hooten, M., 2017, Reflected stochastic differential equation models for constrained animal movement: Journal of Agricultural, Biological, and Environmental Statistics, v. 22, no. 3, p. 353-372, https://doi.org/10.1101/152017.","productDescription":"20 p.","startPage":"353","endPage":"372","ipdsId":"IP-083237","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469797,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/152017","text":"External Repository"},{"id":348557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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 -136.6259765625,\n 55.75803176823725\n ],\n [\n -132.82470703125,\n 55.75803176823725\n ],\n [\n -132.82470703125,\n 58.228596132481435\n ],\n [\n -136.6259765625,\n 58.228596132481435\n ],\n [\n -136.6259765625,\n 55.75803176823725\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cce4b09af898c8611d","contributors":{"authors":[{"text":"Hanks, Ephraim M.","contributorId":178093,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":721544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716606,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192231,"text":"70192231 - 2017 - Structured populations of Sulfolobus acidocaldarius with susceptibility to mobile genetic elements","interactions":[],"lastModifiedDate":"2017-10-24T12:24:17","indexId":"70192231","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3832,"text":"Genome Biology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Structured populations of Sulfolobus acidocaldarius with susceptibility to mobile genetic elements","title":"Structured populations of Sulfolobus acidocaldarius with susceptibility to mobile genetic elements","docAbstract":"The impact of a structured environment on genome evolution can be determined through comparative population genomics of species that live in the same habitat. Recent work comparing three genome sequences of Sulfolobus acidocaldarius suggested that highly structured, extreme, hot spring environments do not limit dispersal of this thermoacidophile, in contrast to other co-occurring Sulfolobus species. Instead, a high level of conservation among these three S. acidocaldarius genomes was hypothesized to result from rapid, global-scale dispersal promoted by low susceptibility to viruses that sets S. acidocaldarius apart from its sister Sulfolobus species. To test this hypothesis, we conducted a comparative analysis of 47 genomes of S. acidocaldarius from spatial and temporal sampling of two hot springs in Yellowstone National Park. While we confirm the low diversity in the core genome, we observe differentiation among S. acidocaldarius populations, likely resulting from low migration among hot spring “islands” in Yellowstone National Park. Patterns of genomic variation indicate that differing geological contexts result in the elimination or preservation of diversity among differentiated populations. We observe multiple deletions associated with a large genomic island rich in glycosyltransferases, differential integrations of the Sulfolobus turreted icosahedral virus, as well as two different plasmid elements. These data demonstrate that neither rapid dispersal nor lack of mobile genetic elements result in low diversity in the S. acidocaldariusgenomes. We suggest instead that significant differences in the recent evolutionary history, or the intrinsic evolutionary rates, of sister Sulfolobusspecies result in the relatively low diversity of the S. acidocaldarius genome.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gbe/evx104","usgsCitation":"Anderson, R.E., Kouris, A., Seward, C.H., Campbell, K.M., and Whitaker, R.J., 2017, Structured populations of Sulfolobus acidocaldarius with susceptibility to mobile genetic elements: Genome Biology and Evolution, v. 9, no. 6, p. 1699-1710, https://doi.org/10.1093/gbe/evx104.","productDescription":"12 p.","startPage":"1699","endPage":"1710","ipdsId":"IP-075290","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469879,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gbe/evx104","text":"Publisher Index Page"},{"id":347225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d90","contributors":{"authors":[{"text":"Anderson, Rika E.","contributorId":195624,"corporation":false,"usgs":false,"family":"Anderson","given":"Rika","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kouris, Angela","contributorId":195622,"corporation":false,"usgs":false,"family":"Kouris","given":"Angela","email":"","affiliations":[],"preferred":false,"id":714895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seward, Christopher H.","contributorId":198039,"corporation":false,"usgs":false,"family":"Seward","given":"Christopher","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":714896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":714893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitaker, Rachel J.","contributorId":195625,"corporation":false,"usgs":false,"family":"Whitaker","given":"Rachel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714897,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188605,"text":"70188605 - 2017 - Envisioning, quantifying, and managing thermal regimes on river networks","interactions":[],"lastModifiedDate":"2017-11-22T16:56:38","indexId":"70188605","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Envisioning, quantifying, and managing thermal regimes on river networks","docAbstract":"Water temperatures fluctuate in time and space, creating diverse thermal regimes on river networks. Temporal variability in these thermal\r\nlandscapes has important biological and ecological consequences because of nonlinearities in physiological reactions; spatial diversity in\r\nthermal landscapes provides aquatic organisms with options to maximize growth and survival. However, human activities and climate change\r\nthreaten to alter the dynamics of riverine thermal regimes. New data and tools can identify particular facets of the thermal landscape that\r\ndescribe ecological and management concerns and that are linked to human actions. The emerging complexity of thermal landscapes demands innovations in communication, opens the door to exciting research opportunities on the human impacts to and biological consequences of\r\nthermal variability, suggests improvements in monitoring programs to better capture empirical patterns, provides a framework for suites of\r\nactions to restore and protect the natural processes that drive thermal complexity, and indicates opportunities for better managing thermal\r\nlandscapes.","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/bix047","usgsCitation":"Steel, E.A., Beechie, T.J., Torgersen, C.E., and Fullerton, A.H., 2017, Envisioning, quantifying, and managing thermal regimes on river networks: BioScience, v. 67, no. 6, p. 506-522, https://doi.org/10.1093/biosci/bix047.","productDescription":"17 p. ","startPage":"506","endPage":"522","ipdsId":"IP-055421","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469800,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bix047","text":"Publisher Index Page"},{"id":342612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Darrington","otherGeospatial":"Sauk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.56681060791016,\n 48.35510833200845\n ],\n [\n -121.56131744384767,\n 48.34529727896014\n ],\n [\n -121.55754089355469,\n 48.322930146152395\n ],\n [\n -121.56990051269533,\n 48.29552845630716\n ],\n [\n -121.5853500366211,\n 48.281365151571755\n ],\n [\n -121.62002563476562,\n 48.27793795546357\n ],\n [\n -121.64028167724611,\n 48.29004635269247\n ],\n [\n -121.66877746582031,\n 48.29507163681939\n ],\n [\n -121.70413970947266,\n 48.296898890246894\n ],\n [\n -121.70379638671874,\n 48.27062583530226\n ],\n [\n -121.70482635498047,\n 48.25714137039319\n ],\n [\n -121.68663024902344,\n 48.25256955799006\n ],\n [\n -121.68594360351562,\n 48.242052838067174\n ],\n [\n -121.66259765625001,\n 48.24113823848043\n ],\n [\n -121.66259765625001,\n 48.234049537222916\n ],\n [\n -121.60285949707031,\n 48.23496426354395\n ],\n [\n -121.59770965576172,\n 48.23199134320962\n ],\n [\n -121.5963363647461,\n 48.22673113793923\n ],\n [\n -121.58569335937501,\n 48.22673113793923\n ],\n [\n -121.58329010009766,\n 48.21849668769751\n ],\n [\n -121.57814025878906,\n 48.21826793405939\n ],\n [\n -121.57608032226562,\n 48.22535882155546\n ],\n [\n -121.57848358154297,\n 48.268797641756244\n ],\n [\n -121.5695571899414,\n 48.268569112964336\n ],\n [\n -121.53282165527342,\n 48.27153990754922\n ],\n [\n -121.53213500976561,\n 48.28387828258955\n ],\n [\n -121.50432586669922,\n 48.28433520221762\n ],\n [\n -121.49574279785156,\n 48.34871995385989\n ],\n [\n -121.52389526367188,\n 48.35373946125798\n ],\n [\n -121.56681060791016,\n 48.35510833200845\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"5944ee13e4b062508e3335ef","contributors":{"authors":[{"text":"Steel, E. Ashley","contributorId":192227,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":698557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":698558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":698556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":698559,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187214,"text":"sir20175035 - 2017 - Nutrient and sediment concentrations and loads in the Steele Bayou Basin, northwestern Mississippi, 2010–14","interactions":[],"lastModifiedDate":"2017-06-01T10:56:06","indexId":"sir20175035","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5035","title":"Nutrient and sediment concentrations and loads in the Steele Bayou Basin, northwestern Mississippi, 2010–14","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers-Vicksburg District, monitored streamflow, water quality, and sediment at two stations on the Steele Bayou in northwestern Mississippi from October 2010 through September 2014 to characterize nutrient and sediment concentrations and loads in areas where substantial implementation of conservation efforts have been implemented. The motivation for this effort was to quantify improvements, or lack thereof, in water quality in the Steele Bayou watershed as a result of implementing large- and small-scale best-management practices aimed at reducing nutrient and sediment concentrations and loads. The results of this study document the hydrologic, water-quality, and sedimentation status of these basins following over two decades of ongoing implementation of conservation practices.
Results from this study indicate the two Steele Bayou stations have comparable loads and yields of total nitrogen, phosphorus, and suspended sediment when compared to other agricultural basins in the southeastern and central United States. However, nitrate plus nitrite yields from basins in the Mississippi River alluvial plain, including the Steele Bayou Basin, are generally lower than other agricultural basins in the southeastern and central United States.
Seasonal variation in nutrient and sediment loads was observed at both stations and for most constituents. About 50 percent of the total annual nutrient and sediment load was observed during the spring (February through May) and between 25 and 50 percent was observed during late fall and winter (October through January). These seasonal patterns probably reflect a combination of seasonal patterns in precipitation, runoff, streamflow, and in the timing of fertilizer application.
Median concentrations of total nitrogen, nitrate plus nitrite, total phosphorus, orthophosphate, and suspended sediment were slightly higher at the upstream station, Steele Bayou near Glen Allan, than at the downstream station, Steele Bayou at Grace Road at Hopedale, MS, although the differences typically were not statistically significant. Mean annual loads of nitrate plus nitrite and suspended sediment were also larger at the upstream station, although the annual loads at both stations were generally within the 95-percent confidence intervals of each other.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175035","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Vicksburg District","usgsCitation":"Hicks, M.B., Murphy, J.C., and Stocks, S.J., 2017, Nutrient and sediment concentrations and loads in the Steele Bayou Basin, northwestern Mississippi, 2010–14: U.S. Geological Survey Scientific Investigations Report 2017–5035, 32 p., https://doi.org/10.3133/sir20175035.","productDescription":"viii, 32 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-072526","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":341906,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5035/sir20175035.pdf","text":"Report","size":"1.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5035"},{"id":341905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5035/coverthb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Steele Bayou Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.25,\n 32.4\n ],\n [\n -90.6,\n 32.4\n ],\n [\n -90.6,\n 33.7\n ],\n [\n -91.25,\n 33.7\n ],\n [\n -91.25,\n 32.4\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
308 Airport Rd.
Jackson MS 39208
The Midwest United States is an intensely agricultural region where pesticides in streams pose risks to aquatic biota, but temporal variability in pesticide concentrations makes characterization of their exposure to organisms challenging. To compensate for the effects of temporal variability, we deployed polar organic chemical integrative samplers (POCIS) in 100 small streams across the Midwest for about 5 weeks during summer 2013 and analyzed the extracts for 227 pesticide compounds. Analysis of water samples collected weekly for pesticides during POCIS deployment allowed for comparison of POCIS results with periodic water-sampling results. The median number of pesticides detected in POCIS extracts was 62, and 141 compounds were detected at least once, indicating a high level of pesticide contamination of streams in the region. Sixty-five of the 141 compounds detected were pesticide degradates. Mean water concentrations estimated using published POCIS sampling rates strongly correlated with means of weekly water samples collected concurrently, however, the POCIS-estimated concentrations generally were lower than the measured water concentrations. Summed herbicide concentrations (units of ng/POCIS) were greater at agricultural sites than at urban sites but summed concentrations of insecticides and fungicides were greater at urban sites. Consistent with these differences, summed concentrations of herbicides correlate to percent cultivated crops in the watersheds and summed concentrations of insecticides and fungicides correlate to percent urban land use. With the exception of malathion concentrations at nine sites, POCIS-estimated water concentrations of pesticides were lower than aquatic-life benchmarks. The POCIS provide an alternative approach to traditional water sampling for characterizing chronic exposure to pesticides in streams across the Midwest region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2016.09.085","usgsCitation":"Van Metre, P., Alvarez, D., Mahler, B., Nowell, L.H., Sandstrom, M.W., and Moran, P.W., 2017, Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers: Environmental Pollution, v. 220, no. A, p. 431-440, https://doi.org/10.1016/j.envpol.2016.09.085.","productDescription":"8 p.","startPage":"431","endPage":"440","ipdsId":"IP-077226","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":469794,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2016.09.085","text":"Publisher Index Page"},{"id":342960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.404296875,\n 36.87962060502676\n ],\n [\n -82.529296875,\n 36.87962060502676\n ],\n [\n -82.529296875,\n 45.767522962149876\n ],\n [\n -99.404296875,\n 45.767522962149876\n ],\n [\n -99.404296875,\n 36.87962060502676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"220","issue":"A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea5e4b062508e3c7a67","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":172246,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":false,"id":700893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":700894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":700895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":700896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":700897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":700898,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193783,"text":"70193783 - 2017 - Daily survival rate and habitat characteristics of nests of Wilson's Plover","interactions":[],"lastModifiedDate":"2017-11-06T08:10:19","indexId":"70193783","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Daily survival rate and habitat characteristics of nests of Wilson's Plover","docAbstract":"We assessed habitat characteristics and measured daily survival rate of 72 nests of Charadrius wilsonia (Wilson's Plover) during 2012 and 2013 on South Island and Sand Island on the central coast of South Carolina. At both study areas, nest sites were located at slightly higher elevations (i.e., small platforms of sand) relative to randomly selected nearby unused sites, and nests at each study area also appeared to be situated to enhance crypsis and/or vigilance. Daily survival rate (DSR) of nests ranged from 0.969 to 0.988 among study sites and years, and the probability of nest survival ranged from 0.405 to 0.764. Flooding and predation were the most common causes of nest failure at both sites. At South Island, DSR was most strongly related to maximum tide height, which suggests that flooding and overwash may be common causes of nest loss for Wilson's Plovers at these study sites. The difference in model results between the 2 nearby study sites may be partially due to more-frequent flooding at Sand Island because of some underlying yet unmeasured physiographic feature. Remaining data gaps for the species include regional assessments of nest and chick survival and habitat requirements during chick rearing.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.016.0203","usgsCitation":"Zinsser, E., Sanders, F.J., Gerard, P., and Jodice, P.G., 2017, Daily survival rate and habitat characteristics of nests of Wilson's Plover: Southeastern Naturalist, v. 16, no. 2, p. 149-156, https://doi.org/10.1656/058.016.0203.","productDescription":"8 p.","startPage":"149","endPage":"156","ipdsId":"IP-073336","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Sand Island, South Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.2172622680664,\n 33.16658236914082\n ],\n [\n -79.15340423583984,\n 33.16658236914082\n ],\n [\n -79.15340423583984,\n 33.224903086263964\n ],\n [\n -79.2172622680664,\n 33.224903086263964\n ],\n [\n -79.2172622680664,\n 33.16658236914082\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbb5","contributors":{"authors":[{"text":"Zinsser, Elizabeth","contributorId":14315,"corporation":false,"usgs":false,"family":"Zinsser","given":"Elizabeth","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":720504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders, Felicia J.","contributorId":56574,"corporation":false,"usgs":false,"family":"Sanders","given":"Felicia","email":"","middleInitial":"J.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":720550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerard, Patrick D.","contributorId":140181,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":720551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":720552,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193818,"text":"70193818 - 2017 - Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum)","interactions":[],"lastModifiedDate":"2017-11-06T10:50:26","indexId":"70193818","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum)","title":"Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum)","docAbstract":"Salinity (5–30) effects on golden alga growth were determined at a standard laboratory temperature (22 °C) and one associated with natural blooms (13 °C). Inoculum-size effects were determined over a wide size range (100–100,000 cells ml−1). A strain widely distributed in the USA, UTEX-2797 was the primary study subject but another of limited distribution, UTEX-995 was used to evaluate growth responses in relation to genetic background. Variables examined were exponential growth rate (r), maximum cell density (max-D) and, when inoculum size was held constant (100 cells ml−1), density at onset of exponential growth (early-D). In UTEX-2797, max-D increased as salinity increased from 5 to ∼10–15 and declined thereafter regardless of temperature but r remained generally stable and only declined at salinity of 25–30. In addition, max-D correlated positively with r and early-D, the latter also being numerically highest at salinity of 15. In UTEX-995, max-D and r responded similarly to changes in salinity − they remained stable at salinity of 5–10 and 5–15, respectively, and declined at higher salinity. Also, max-D correlated with r but not early-D. Inoculum size positively and negatively influenced max-D and r, respectively, in both strains and these effects were significant even when the absolute size difference was small (100 versus 1000 cells ml−1). When cultured under similar conditions, UTEX-2797 grew faster and to much higher density than UTEX-995. In conclusion, (1) UTEX-2797’s superior growth performance may explain its relatively wide distribution in the USA, (2) the biphasic growth response of UTEX-2797 to salinity variation, with peak abundance at salinity of 10–15, generally mirrors golden alga abundance-salinity associations in US inland waters, and (3) early cell density – whether artificially manipulated or naturally attained – can influence UTEX-2797 bloom potential.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2017.05.010","usgsCitation":"Rashel, R.H., and Patino, R., 2017, Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum): Harmful Algae, v. 66, p. 97-104, https://doi.org/10.1016/j.hal.2017.05.010.","productDescription":"8 p.","startPage":"97","endPage":"104","ipdsId":"IP-082874","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8d1e4b09af898c8cbb3","contributors":{"authors":[{"text":"Rashel, Rakib H.","contributorId":200015,"corporation":false,"usgs":false,"family":"Rashel","given":"Rakib","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":720653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720601,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188896,"text":"70188896 - 2017 - Incipient motion of sand-oil agglomerates","interactions":[],"lastModifiedDate":"2017-06-27T13:05:47","indexId":"70188896","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Incipient motion of sand-oil agglomerates","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Schippers, M.M., Jacobsen, N.G., Dalyander, P.S., Nelson, T., and McCall, R.T., 2017, Incipient motion of sand-oil agglomerates, in Proceedings of Coastal Dynamics 2017, p. 1290-1301.","productDescription":"12 p.","startPage":"1290","endPage":"1301","ipdsId":"IP-086009","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":342975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342927,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea6e4b062508e3c7a69","contributors":{"authors":[{"text":"Schippers, Melanie M. A.","contributorId":193617,"corporation":false,"usgs":false,"family":"Schippers","given":"Melanie","email":"","middleInitial":"M. A.","affiliations":[],"preferred":false,"id":701069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobsen, Niels G.","contributorId":193618,"corporation":false,"usgs":false,"family":"Jacobsen","given":"Niels","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":701070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":700870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Timothy 0000-0002-5005-7617 trnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-5005-7617","contributorId":191933,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy","email":"trnelson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":701071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":701072,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193122,"text":"70193122 - 2017 - Ecological change drives a decline in mercury concentrations in southern Beaufort Sea polar bears","interactions":[],"lastModifiedDate":"2017-11-01T16:48:55","indexId":"70193122","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","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":"Ecological change drives a decline in mercury concentrations in southern Beaufort Sea polar bears","docAbstract":"We evaluated total mercury (THg) concentrations and trends in polar bears from the southern Beaufort Sea subpopulation from 2004 to 2011. Hair THg concentrations ranged widely among individuals from 0.6 to 13.3 μg g–1 dry weight (mean: 3.5 ± 0.2 μg g–1). Concentrations differed among sex and age classes: solitary adult females ≈ adult females with cubs ≈ subadults > adult males ≈ yearlings > cubs-of-the-year ≈ 2 year old dependent cubs. No variation was observed between spring and fall samples. For spring-sampled adults, THg concentrations declined by 13% per year, contrasting recent trends observed for other Western Hemispheric Arctic biota. Concentrations also declined by 15% per year considering adult males only, while a slower, nonsignificant decrease of 4.4% per year was found for adult females. Lower THg concentrations were associated with higher body mass index (BMI) and higher proportions of lower trophic position food resources consumed. Because BMI and diet were related, and the relationship to THg was strongest for BMI, trends were re-evaluated adjusting for BMI as the covariate. The adjusted annual decline was not significant. These findings indicate that changes in foraging ecology, not declining environmental concentrations of mercury, are driving short-term declines in THg concentrations in southern Beaufort Sea polar bears.
","language":"English","publisher":"ACS Publishing","doi":"10.1021/acs.est.7b00812","usgsCitation":"McKinney, M.A., Atwood, T.C., Pedro, S., and Peacock, E.L., 2017, Ecological change drives a decline in mercury concentrations in southern Beaufort Sea polar bears: Environmental Science & Technology, v. 51, no. 14, p. 7814-7822, https://doi.org/10.1021/acs.est.7b00812.","productDescription":"9 p.","startPage":"7814","endPage":"7822","ipdsId":"IP-084265","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469786,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.7b00812","text":"Publisher Index Page"},{"id":438309,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z71H2","text":"USGS data release","linkHelpText":"Polar Bear Hair Mercury Concentrations Southern Beaufort Sea 2004-2011"},{"id":348057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","volume":"51","issue":"14","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"59fadd22e4b0531197b13c97","contributors":{"authors":[{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":718056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pedro, Sara","contributorId":199068,"corporation":false,"usgs":false,"family":"Pedro","given":"Sara","email":"","affiliations":[],"preferred":false,"id":718057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":718058,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198079,"text":"70198079 - 2017 - The morphology of transverse aeolian ridges on Mars","interactions":[],"lastModifiedDate":"2018-07-13T10:08:52","indexId":"70198079","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The morphology of transverse aeolian ridges on Mars","docAbstract":"A preliminary survey of publicly released high resolution digital terrain models (DTMs) produced by the High Resolution Imaging Science Experiment (HiRISE) camera on Mars Reconnaissance Orbiter identified transverse aeolian ridges (TARs) in 154 DTMs in latitudes from 50°S to 40°N. Consistent with previous surveys, the TARs identified in HiRISE DTMs are found at all elevations, irrespective of the regional thermal inertia of the surface. Ten DTMs were selected for measuring the characteristics of the TARs, including maximum height, mean height, mean spacing (wavelength), and the slope of the surface where they are located. We confined our measurements to features that were taller than 1 m and spaced more than 10 m apart.\n\nWe found a surprisingly wide variability of TAR sizes within each local region (typically 5 km by 25 km), with up to a factor of 7 difference in TAR wavelengths in a single DTM. The TAR wavelengths do not appear to be correlated to latitude or elevation, but the largest TARs in our small survey were found at lower elevations. The tallest TARs we measured were on the flat floor of Moni crater, within Kaiser crater in the southern highlands. These TARs are up to 14 m tall, with a typical wavelength of 120 m. TAR heights are weakly correlated with their wavelengths. The height-to-wavelength ratios for most TARs are far less than 1/2π (the maximum predicted for antidunes), however in two cases the ratio is close to 1/2π, and in one case (in the bend of a channel) the ratio exceeds 1/2π. TAR wavelengths are uncorrelated with surface slope, both on local and regional scales. TAR heights are weakly anti-correlated with local slope.\n\nThese results help constrain models of TAR formation, particularly a new hypothesis (Geissler, 2014) that suggests that TARs were formed from micron-sized dust that was transported in suspension. The lack of correlation between TAR wavelength and surface slope seems to rule out formation by gravity-driven dust flows such as avalanches or density currents, and suggests that the TARs were instead produced by the Martian winds.","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2016.08.008","usgsCitation":"Geissler, P., and Wilgus, J., 2017, The morphology of transverse aeolian ridges on Mars: Aeolian Research, v. 26, p. 63-71, https://doi.org/10.1016/j.aeolia.2016.08.008.","productDescription":"9 p.","startPage":"63","endPage":"71","ipdsId":"IP-073238","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":355665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc67ee4b0f5d57878eb86","contributors":{"authors":[{"text":"Geissler, Paul","contributorId":206262,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":739923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilgus, Justin T.","contributorId":206263,"corporation":false,"usgs":false,"family":"Wilgus","given":"Justin T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":739924,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189256,"text":"70189256 - 2017 - Rip currents and alongshore flows in single channels dredged in the surf zone","interactions":[],"lastModifiedDate":"2017-07-06T15:58:39","indexId":"70189256","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Rip currents and alongshore flows in single channels dredged in the surf zone","docAbstract":"To investigate the dynamics of flows near nonuniform bathymetry, single channels (on average 30 m wide and 1.5 m deep) were dredged across the surf zone at five different times, and the subsequent evolution of currents and morphology was observed for a range of wave and tidal conditions. In addition, circulation was simulated with the numerical modeling system COAWST, initialized with the observed incident waves and channel bathymetry, and with an extended set of wave conditions and channel geometries. The simulated flows are consistent with alongshore flows and rip-current circulation patterns observed in the surf zone. Near the offshore-directed flows that develop in the channel, the dominant terms in modeled momentum balances are wave-breaking accelerations, pressure gradients, advection, and the vortex force. The balances vary spatially, and are sensitive to wave conditions and the channel geometry. The observed and modeled maximum offshore-directed flow speeds are correlated with a parameter based on the alongshore gradient in breaking-wave-driven-setup across the nonuniform bathymetry (a function of wave height and angle, water depths in the channel and on the sandbar, and a breaking threshold) and the breaking-wave-driven alongshore flow speed. The offshore-directed flow speed increases with dissipation on the bar and reaches a maximum (when the surf zone is saturated) set by the vertical scale of the bathymetric variability.
","language":"English","publisher":"AGU","doi":"10.1002/2016JC012222","usgsCitation":"Moulton, M., Elgar, S., Raubenheimer, B., Warner, J., and Kumar, N., 2017, Rip currents and alongshore flows in single channels dredged in the surf zone: Journal of Geophysical Research: Oceans, v. 122, no. 5, p. 3799-3816, https://doi.org/10.1002/2016JC012222.","productDescription":"18 p.","startPage":"3799","endPage":"3816","ipdsId":"IP-079457","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469804,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jc012222","text":"Publisher Index Page"},{"id":343455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-08","publicationStatus":"PW","scienceBaseUri":"595f4c3ce4b0d1f9f057e333","contributors":{"authors":[{"text":"Moulton, Melissa","contributorId":194341,"corporation":false,"usgs":false,"family":"Moulton","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":703772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elgar, Steve","contributorId":194339,"corporation":false,"usgs":false,"family":"Elgar","given":"Steve","email":"","affiliations":[],"preferred":false,"id":703773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raubenheimer, Britt","contributorId":194340,"corporation":false,"usgs":false,"family":"Raubenheimer","given":"Britt","email":"","affiliations":[],"preferred":false,"id":703774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":703771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kumar, Nirnimesh","contributorId":190663,"corporation":false,"usgs":false,"family":"Kumar","given":"Nirnimesh","email":"","affiliations":[],"preferred":false,"id":703775,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}