We propose a method that utilizes the time dependence of P‐wave displacement amplitudes to estimate the final magnitude (M) for earthquake early warning (EEW) before the arrival of the peak amplitude. A relation between M and P‐wave displacement amplitude is employed for the method. Its value is set as a function of time from the P arrival, and is determined using a K‐NET dataset recorded in Japan from a scaling relation between M and the time dependence of P‐wave displacement. A test to check the performance of the proposed equation demonstrates in a statistical sense that this technique enables us to estimate M more rapidly than conventional methods without loss of accuracy. We conclude that the approach proposed in this article effectively gains a longer lead time as well as reduces the blind zone for EEW.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170048","usgsCitation":"Noda, S., and Ellsworth, W.L., 2017, Determination of earthquake magnitude for early warning from the time-dependence of P-wave amplitudes: Bulletin of the Seismological Society of America, v. 107, no. 4, p. 1860-1867, https://doi.org/10.1785/0120170048.","productDescription":"8 p.","startPage":"1860","endPage":"1867","ipdsId":"IP-076689","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Noda, Shunta 0000-0002-5897-3409","orcid":"https://orcid.org/0000-0002-5897-3409","contributorId":351252,"corporation":false,"usgs":true,"family":"Noda","given":"Shunta","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellsworth, William L. 0000-0001-8378-4979 ellsworth@usgs.gov","orcid":"https://orcid.org/0000-0001-8378-4979","contributorId":206685,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928272,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189159,"text":"70189159 - 2017 - Adding a nitrogen footprint to Colorado State University’s sustainability plan","interactions":[],"lastModifiedDate":"2017-07-04T12:08:48","indexId":"70189159","displayToPublicDate":"2017-07-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Adding a nitrogen footprint to Colorado State University’s sustainability plan","docAbstract":"As a large land grant university with more than 32,000 students, Colorado State University has both on-campus non-agricultural and agricultural sources of nitrogen (N) released to the environment. We used the Nitrogen Footprint Tool to estimate the amount of N released from different sectors of the university for the CSU 2014 academic year. The largest on campus sources were food production, utilities (heating, cooling, electricity), and research animals. The total on-campus N footprint in 2014 was 287 metric tons. This value was equivalent to the nitrogen footprint of agricultural experiment stations and other agricultural facilities, whose nitrogen footprint was 273 metric tons. CSU has opportunities to reduce its on-campus footprint through educational programs promoting low-meat diets and commuting by bicycle or bus. There is also an opportunity to advance ideas of agricultural best management practices, including precision farming and better livestock management. This article describes the planned and ongoing efforts to educate CSU about how societal activities release nitrogen to the environment, contributing to global change. It offers personal and institutional options for taking action, which would ultimately reduce CSU’s excess reactive nitrogen loss to the environment. The N-footprint for CSU, including scenarios of possible future nitrogen reductions, is also discussed.","language":"English","publisher":"Mary Ann Liebert, Inc","doi":"10.1089/sus.2017.29091.jk","usgsCitation":"Kimiecik, J., Baron, J., Weinmann, T., and Taylor, E., 2017, Adding a nitrogen footprint to Colorado State University’s sustainability plan: Sustainability, v. 10, no. 2, p. 89-95, https://doi.org/10.1089/sus.2017.29091.jk.","productDescription":"7 p.","startPage":"89","endPage":"95","ipdsId":"IP-085225","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":343282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595ca911e4b0d1f9f054ca10","contributors":{"authors":[{"text":"Kimiecik, Jacob","contributorId":194125,"corporation":false,"usgs":false,"family":"Kimiecik","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":703270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":703269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weinmann, Timothy","contributorId":194126,"corporation":false,"usgs":false,"family":"Weinmann","given":"Timothy","affiliations":[],"preferred":false,"id":703271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Emily","contributorId":194127,"corporation":false,"usgs":false,"family":"Taylor","given":"Emily","affiliations":[],"preferred":false,"id":703272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189164,"text":"70189164 - 2017 - A spatiotemporal clustering model for the Third Uniform California Earthquake Rupture Forecast (UCERF3‐ETAS): Toward an operational earthquake forecast","interactions":[],"lastModifiedDate":"2020-09-02T13:12:10.813183","indexId":"70189164","displayToPublicDate":"2017-07-04T00:00:00","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":"A spatiotemporal clustering model for the Third Uniform California Earthquake Rupture Forecast (UCERF3‐ETAS): Toward an operational earthquake forecast","docAbstract":"We, the ongoing Working Group on California Earthquake Probabilities, present a spatiotemporal clustering model for the Third Uniform California Earthquake Rupture Forecast (UCERF3), with the goal being to represent aftershocks, induced seismicity, and otherwise triggered events as a potential basis for operational earthquake forecasting (OEF). Specifically, we add an epidemic‐type aftershock sequence (ETAS) component to the previously published time‐independent and long‐term time‐dependent forecasts. This combined model, referred to as UCERF3‐ETAS, collectively represents a relaxation of segmentation assumptions, the inclusion of multifault ruptures, an elastic‐rebound model for fault‐based ruptures, and a state‐of‐the‐art spatiotemporal clustering component. It also represents an attempt to merge fault‐based forecasts with statistical seismology models, such that information on fault proximity, activity rate, and time since last event are considered in OEF. We describe several unanticipated challenges that were encountered, including a need for elastic rebound and characteristic magnitude–frequency distributions (MFDs) on faults, both of which are required to get realistic triggering behavior. UCERF3‐ETAS produces synthetic catalogs of M≥2.5 events, conditioned on any prior M≥2.5 events that are input to the model. We evaluate results with respect to both long‐term (1000 year) simulations as well as for 10‐year time periods following a variety of hypothetical scenario mainshocks. Although the results are very plausible, they are not always consistent with the simple notion that triggering probabilities should be greater if a mainshock is located near a fault. Important factors include whether the MFD near faults includes a significant characteristic earthquake component, as well as whether large triggered events can nucleate from within the rupture zone of the mainshock. Because UCERF3‐ETAS has many sources of uncertainty, as will any subsequent version or competing model, potential usefulness needs to be considered in the context of actual applications.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160173","usgsCitation":"Field, E., Milner, K.R., Hardebeck, J.L., Page, M.T., van der Elst, N., Jordan, T.H., Michael, A.J., Shaw, B., and Werner, M.J., 2017, A spatiotemporal clustering model for the Third Uniform California Earthquake Rupture Forecast (UCERF3‐ETAS): Toward an operational earthquake forecast: Bulletin of the Seismological Society of America, v. 107, no. 3, p. 1049-1081, https://doi.org/10.1785/0120160173.","productDescription":"33 p.","startPage":"1049","endPage":"1081","ipdsId":"IP-079305","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469698,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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lakes","interactions":[],"lastModifiedDate":"2021-02-05T16:31:00.323131","indexId":"70190243","displayToPublicDate":"2017-07-03T10:26:40","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Life history constraints explain negative relationship between fish productivity and dissolved organic carbon in lakes","docAbstract":"Resource availability constrains the life history strategies available to organisms and may thereby limit population growth rates and productivity. We used this conceptual framework to explore the mechanisms driving recently reported negative relationships between fish productivity and dissolved organic carbon (DOC) concentrations in lakes. We studied populations of bluegill (Lepomis macrochirus) in a set of lakes with DOC concentrations ranging from 3 to 24 mg/L; previous work has demonstrated that primary and secondary productivity of food webs is negatively related to DOC concentration across this gradient. For each population, we quantified individual growth rate, age at maturity, age‐specific fecundity, maximum age, length‐weight and length‐egg size relationships, and other life history characteristics. We observed a strong negative relationship between maximum size and DOC concentration; for instance, fish reached masses of 150 to 260 g in low‐DOC lakes but <120 g in high‐DOC lakes. Relationships between fecundity and length, and between egg size and length, were constant across the DOC gradient. Because fish in high‐DOC lakes reached smaller sizes but had similar fecundity and egg size at a given size, their total lifetime fecundity was as much as two orders of magnitude lower than fish in low‐DOC lakes. High DOC concentrations appeared to constrain the range of bluegill life history strategies available; populations in high‐DOC lakes always had low initial growth rates and high ages at maturity, whereas populations in low‐DOC showed higher variability in these traits. This was also the case for the intrinsic rates of natural increase of these populations, which were always low at the high end of the DOC gradient. The potentially lower capacity for fish populations in high‐DOC lakes to recover from exploitation has clear implications for the sustainable management of recreational fisheries in the face of considerable spatial heterogeneity and ongoing temporal change in lake DOC concentrations.
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However, numerous difficulties associated with making accurate measurements of water vapor in volcanic plumes have limited their use as a diagnostic tool. Here we present the first detection of water vapor in a volcanic plume using passive visible-light differential optical absorption spectroscopy (DOAS). Ultraviolet and visible-light DOAS measurements were made on 21 May 2016 at Sabancaya Volcano, Peru. We find that Sabancaya's plume contained an exceptionally high relative water vapor abundance 6 months prior to its November 2016 eruption. Our measurements yielded average sulfur dioxide (SO2) emission rates of 800–900 t/d, H2O emission rates of around 250,000 t/d, and an H2O/SO2 molecular ratio of 1000 which is about an order of magnitude larger than typically found in high-temperature volcanic gases. We attribute the high water vapor emissions to a boiling-off of Sabancaya's hydrothermal system caused by intrusion of magma to shallow depths. This hypothesis is supported by a significant increase in the thermal output of the volcanic edifice detected in infrared satellite imagery leading up to and after our measurements. Though the measurement conditions encountered at Sabancaya were very favorable for our experiment, we show that visible-light DOAS systems could be used to measure water vapor emissions at numerous other high-elevation volcanoes. Such measurements would provide observatories with additional information particularly useful for forecasting eruptions at volcanoes harboring significant hydrothermal systems.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014020","usgsCitation":"Kern, C., Masias, P., Apaza, F., Reath, K., and Platt, U., 2017, Remote measurement of high preeruptive water vapor emissions at Sabancaya volcano by passive differential optical absorption spectroscopy: Journal of Geophysical Research B: Solid Earth, v. 122, no. 5, p. 3540-3564, https://doi.org/10.1002/2017JB014020.","productDescription":"25 p.","startPage":"3540","endPage":"3564","ipdsId":"IP-083524","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469701,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jb014020","text":"External Repository"},{"id":343266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-21","publicationStatus":"PW","scienceBaseUri":"595b5797e4b0d1f9f0536da9","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":703175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masias, Pablo","contributorId":190934,"corporation":false,"usgs":false,"family":"Masias","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":703176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apaza, Fredy","contributorId":190927,"corporation":false,"usgs":false,"family":"Apaza","given":"Fredy","email":"","affiliations":[],"preferred":false,"id":703177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reath, Kevin","contributorId":194091,"corporation":false,"usgs":false,"family":"Reath","given":"Kevin","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":703178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Platt, Ulrich","contributorId":194092,"corporation":false,"usgs":false,"family":"Platt","given":"Ulrich","email":"","affiliations":[],"preferred":false,"id":703179,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189589,"text":"70189589 - 2017 - USGS Integration of New Science and Technology, Appendix A","interactions":[],"lastModifiedDate":"2019-07-12T14:52:13","indexId":"70189589","displayToPublicDate":"2017-07-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"USGS Integration of New Science and Technology, Appendix A","docAbstract":"This product summarizes the USGS plans for integration of new science and technology into Asian Carp control efforts for 2017. This includes the 1) implementation and evaluation of new tactics and behavioral information for monitoring, surveillance, control and containment; 2) understanding behavior and reproduction of Asian carp in established and emerging populations to inform deterrent deployment, rapid response, and removal efforts; and 3) development and evaluation of databases, decision support tools and performance measures.","largerWorkTitle":"2017 Asian Carp Monitoring and Response Plan","language":"English","publisher":"Monitoring and Response Work Group (MRWG) of the Asian Carp Regional Coordinating Committee (ACRCC)","usgsCitation":"Brey, M.K., Knights, B.C., Cupp, A.R., Amberg, J., Chapman, D., Calfee, R.D., and Duncker, J.J., 2017, USGS Integration of New Science and Technology, Appendix A, 5 p.","productDescription":"5 p.","startPage":"A-1","endPage":"A-5","ipdsId":"IP-086655","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":344003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343969,"type":{"id":15,"text":"Index Page"},"url":"https://www.asiancarp.us/PlansReports.html"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596f1e24e4b0d1f9f0640752","contributors":{"authors":[{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":705313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":705314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":705315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":705316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":705317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":705318,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705319,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193524,"text":"70193524 - 2017 - Diel periodicity and chronology of upstream migration in yellow-phase American eels (Anguilla rostrata)","interactions":[],"lastModifiedDate":"2017-11-02T14:10:10","indexId":"70193524","displayToPublicDate":"2017-07-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diel periodicity and chronology of upstream migration in yellow-phase American eels (Anguilla rostrata)","title":"Diel periodicity and chronology of upstream migration in yellow-phase American eels (Anguilla rostrata)","docAbstract":"Yellow-phase American eel (Anguilla rostrata) upstream migration is temporally punctuated, yet migration chronology within diel time periods is not well-understood. This study examined diel periodicity, chronology, and total length (TL) of six multi-day, high-count (285–1,868 eels) passage events of upstream migrant yellow-phase American eels at the Millville Dam eel ladder, lower Shenandoah River, West Virginia during 2011–2014. We categorized passage by diel periods (vespertine, nocturnal, matutinal, diurnal) and season (spring, summer, late summer/early fall, fall). We depicted passage counts as time-series histograms and used time-series spectral analysis (Fast Fourier Transformation) to identify cyclical patterns and diel periodicity of upstream migration. We created histograms to examine movement patterns within diel periods for each passage event and fit normal mixture models (2–9 mixtures) to describe multiple peaks of passage counts. Periodicity of movements for each passage event followed a 24-h activity cycle with mostly nocturnal movement. Multimodal models were supported by the data; most modes represented nocturnal movements, but modes at or near the transition between twilight and night were also common. We used mixed-model methodology to examine relationships among TL, diel period, and season. An additive-effects model of diel period + season was the best approximating model. A decreasing trend of mean TL occurred across diel movement periods, with the highest mean TL occurring during fall relative to similar mean values of TL for spring, summer, and late summer/early fall. This study increased our understanding of yellow-phase American eels by demonstrating the non-random nature of their upstream migration.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0614-1","usgsCitation":"Aldinger, J.L., and Welsh, S.A., 2017, Diel periodicity and chronology of upstream migration in yellow-phase American eels (Anguilla rostrata): Environmental Biology of Fishes, v. 100, no. 7, p. 829-838, https://doi.org/10.1007/s10641-017-0614-1.","productDescription":"10 p.","startPage":"829","endPage":"838","ipdsId":"IP-079381","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Millville Dam","volume":"100","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-09","publicationStatus":"PW","scienceBaseUri":"59fc2ea4e4b0531197b27f7f","contributors":{"authors":[{"text":"Aldinger, Joni L.","contributorId":171886,"corporation":false,"usgs":false,"family":"Aldinger","given":"Joni","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":719832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":719265,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189151,"text":"70189151 - 2017 - The difficulty of measuring the absorption of scattered sunlight by H2O and CO2 in volcanic plumes: A comment on Pering et al. “A novel and inexpensive method for measuring volcanic plume water fluxes at high temporal resolution,” Remote Sens. 2017, 9, 146","interactions":[],"lastModifiedDate":"2017-07-03T09:24:14","indexId":"70189151","displayToPublicDate":"2017-07-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The difficulty of measuring the absorption of scattered sunlight by H2O and CO2 in volcanic plumes: A comment on Pering et al. “A novel and inexpensive method for measuring volcanic plume water fluxes at high temporal resolution,” Remote Sens. 2017, 9, 146","title":"The difficulty of measuring the absorption of scattered sunlight by H2O and CO2 in volcanic plumes: A comment on Pering et al. “A novel and inexpensive method for measuring volcanic plume water fluxes at high temporal resolution,” Remote Sens. 2017, 9, 146","docAbstract":"In their recent study, Pering et al. (2017) presented a novel method for measuring volcanic water vapor fluxes. Their method is based on imaging volcanic gas and aerosol plumes using a camera sensitive to the near-infrared (NIR) absorption of water vapor. The imaging data are empirically calibrated by comparison with in situ water measurements made within the plumes. Though the presented method may give reasonable results over short time scales, the authors fail to recognize the sensitivity of the technique to light scattering on aerosols within the plume. In fact, the signals measured by Pering et al. are not related to the absorption of NIR radiation by water vapor within the plume. Instead, the measured signals are most likely caused by a change in the effective light path of the detected radiation through the atmospheric background water vapor column. Therefore, their method is actually based on establishing an empirical relationship between in-plume scattering efficiency and plume water content. Since this relationship is sensitive to plume aerosol abundance and numerous environmental factors, the method will only yield accurate results if it is calibrated very frequently using other measurement techniques.","language":"English","publisher":"Multidisciplinary Digital Publishing Institute","doi":"10.3390/rs9060534","usgsCitation":"Kern, C., 2017, The difficulty of measuring the absorption of scattered sunlight by H2O and CO2 in volcanic plumes: A comment on Pering et al. “A novel and inexpensive method for measuring volcanic plume water fluxes at high temporal resolution,” Remote Sens. 2017, 9, 146: Remote Sensing, v. 9, no. 6, Article 534: 11 p., https://doi.org/10.3390/rs9060534.","productDescription":"Article 534: 11 p.","ipdsId":"IP-086338","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9060534","text":"Publisher Index Page"},{"id":343265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-27","publicationStatus":"PW","scienceBaseUri":"595b5795e4b0d1f9f0536da4","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":703180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70202396,"text":"70202396 - 2017 - How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications","interactions":[],"lastModifiedDate":"2019-02-27T13:02:14","indexId":"70202396","displayToPublicDate":"2017-07-01T13:02:07","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":"How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications","docAbstract":"Streamflow data are used for important environmental and economic decisions, such as specifying and regulating minimum flows, managing water supplies, and planning for flood hazards. Despite significant uncertainty in most flow data, the flow series for these applications are often communicated and used without uncertainty information. In this commentary, we argue that proper analysis of uncertainty in river flow data can reduce costs and promote robust conclusions in water management applications. We substantiate our argument by providing case studies from Norway and New Zealand where streamflow uncertainty analysis has uncovered economic costs in the hydropower industry, improved public acceptance of a controversial water management policy, and tested the accuracy of water quality trends. We discuss the need for practical uncertainty assessment tools that generate multiple flow series realizations rather than simple error bounds. Although examples of such tools are in development, considerable barriers for uncertainty analysis and communication still exist for practitioners, and future research must aim to provide easier access and usability of uncertainty estimates. We conclude that flow uncertainty analysis is critical for good water management decisions.
","language":"English","publisher":"AGU","doi":"10.1002/2016WR020328","usgsCitation":"McMilan, H., Seibert, J., Petersen-Overleir, A., Lang, M., White, P., Snelder, T., Rutherford, K., Krueger, T., Mason,, R., and Kiang, J.E., 2017, How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications: Water Resources Research, v. 53, no. 7, p. 5220-5228, https://doi.org/10.1002/2016WR020328.","productDescription":"9 p.","startPage":"5220","endPage":"5228","ipdsId":"IP-088336","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":469702,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016wr020328","text":"External Repository"},{"id":361589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McMilan, Hilary","contributorId":213624,"corporation":false,"usgs":false,"family":"McMilan","given":"Hilary","email":"","affiliations":[{"id":38824,"text":"Department of Geology; San Diego State University, USA","active":true,"usgs":false}],"preferred":false,"id":758172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seibert, Jan","contributorId":176322,"corporation":false,"usgs":false,"family":"Seibert","given":"Jan","email":"","affiliations":[],"preferred":false,"id":758173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen-Overleir, Asgeir","contributorId":213625,"corporation":false,"usgs":false,"family":"Petersen-Overleir","given":"Asgeir","email":"","affiliations":[{"id":38825,"text":"Market Operations Hydrology, Statkraft Energi AS, Norway","active":true,"usgs":false}],"preferred":false,"id":758174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Michel","contributorId":213626,"corporation":false,"usgs":false,"family":"Lang","given":"Michel","email":"","affiliations":[{"id":38826,"text":"Irstea, UR HHLY, Hydrology-Hydraulics, Villeurbanne, France","active":true,"usgs":false}],"preferred":false,"id":758175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Paul","contributorId":213695,"corporation":false,"usgs":false,"family":"White","given":"Paul","affiliations":[],"preferred":false,"id":758176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Snelder, Ton","contributorId":213627,"corporation":false,"usgs":false,"family":"Snelder","given":"Ton","email":"","affiliations":[{"id":38827,"text":"LWP Let, 145c Colombo Street, Christchurch, New Zealand","active":true,"usgs":false}],"preferred":false,"id":758177,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rutherford, Kit","contributorId":213628,"corporation":false,"usgs":false,"family":"Rutherford","given":"Kit","email":"","affiliations":[{"id":38828,"text":"National Institute of Water and Atmospheric Research, Napier, New Zealand","active":true,"usgs":false}],"preferred":false,"id":758178,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krueger, Tobias","contributorId":213629,"corporation":false,"usgs":false,"family":"Krueger","given":"Tobias","email":"","affiliations":[{"id":38829,"text":"IRI THESys, Humboldt-Universitat zu Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":758179,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":176493,"corporation":false,"usgs":true,"family":"Mason,","given":"Robert R.","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":758171,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":758180,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70189719,"text":"70189719 - 2017 - Chemical and isotopic evidence for CO2 charge and migration within Bravo Dome and potential CO2 leakage to the southwest","interactions":[],"lastModifiedDate":"2019-02-14T10:42:43","indexId":"70189719","displayToPublicDate":"2017-07-01T10:42:34","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Chemical and isotopic evidence for CO2 charge and migration within Bravo Dome and potential CO2 leakage to the southwest","title":"Chemical and isotopic evidence for CO2 charge and migration within Bravo Dome and potential CO2 leakage to the southwest","docAbstract":"Gas analyses from northeastern New Mexico, USA indicate that previous interpretations of the location of gas charge into the northeastern portion of Bravo Dome are likely correct, and that there may be multiple migration pathways from the same source for different regions in northeastern New Mexico.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2017.03.1428","usgsCitation":"Brennan, S.T., 2017, Chemical and isotopic evidence for CO2 charge and migration within Bravo Dome and potential CO2 leakage to the southwest: Energy Procedia, v. 114, p. 2996-3005, https://doi.org/10.1016/j.egypro.2017.03.1428.","productDescription":"10 p.","startPage":"2996","endPage":"3005","ipdsId":"IP-079898","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":461455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2017.03.1428","text":"Publisher Index Page"},{"id":361246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Bravo Dome","volume":"114","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brennan, Sean T. 0000-0002-7102-9359 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":559,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":705917,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70237288,"text":"70237288 - 2017 - Geomorphic processes responsible for decadal-scale arroyo changes, Rio Puerco, New Mexico","interactions":[],"lastModifiedDate":"2022-10-06T13:31:32.552288","indexId":"70237288","displayToPublicDate":"2017-07-01T08:25:17","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic processes responsible for decadal-scale arroyo changes, Rio Puerco, New Mexico","docAbstract":"The channel and arroyo of the Rio Puerco have continued to evolve since incision in the late 1800s. Resurveys of channel cross sections and aerial imagery over time indicate that between the 1970s and 1990s, the upstream reaches (type 1 morphology) of the Rio Puerco have continued to undergo construction of an incipient inner floodplain by means of vertical aggradation while simultaneously developing a narrower, but relatively shallow, channel. Downstream reaches (type 2 morphology) also show progressive channel width decrease, construction of a well-vegetated and mature inner floodplain, and deposition in the active channel, leading to an increase in the streambed elevation.
Trends in rainfall and streamflow cannot explain the observed decadal patterns in sediment deposition in the Rio Puerco. Analysis of streamflow shows that a large percentage of runoff originating in the upper watershed is entirely infiltrated into the streambed and floodplains between upstream and downstream reaches. With suspended-sediment concentrations reaching 500,000 mg/L, the loss of streamflow results in sediment deposition.
Peak streamflows are decreasing in the Rio Puerco near its mouth at Bernardo, New Mexico. Hydrographs were modeled using a 71-yr-old monumented channel cross section in the lower reaches (Highway 6) surveyed in 1936 and resurveyed in 2007. Model outputs show that attenuation of peak flow can occur from progressive changes in channel morphology and vegetation. Decreasing peak flows, transmission losses, and development of an inner floodplain within the widened arroyo all interact to increase sediment deposition over time. Consequently, increased sediment deposition has resulted in decreased sediment loads and sediment concentrations in downstream reaches. Resurveys of channels in downstream reaches confirm that the channel bed is aggrading. At the oldest surveyed cross section (Highway 6 surveyed in 1936 and resurveyed in 2007), the channel bed has aggraded 6 m, and at its long-term rate of filling, deposition of sediment could fill the entire arroyo cross section in 150 yr.
The Rio Puerco has incised and aggraded several times in the late Quaternary. Results of this study show that the twentieth-century aggradation of the Rio Puerco is driven by intrinsic processes that involve a positive feedback relation among channel morphology, vegetation, climate, streamflow, infiltration, and sediment loads.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31622.1","usgsCitation":"Gellis, A.C., Elliott, J., and Pavich, M., 2017, Geomorphic processes responsible for decadal-scale arroyo changes, Rio Puerco, New Mexico: Geological Society of America Bulletin, v. 129, no. 11-12, p. 1660-1680, https://doi.org/10.1130/B31622.1.","productDescription":"21 p.","startPage":"1660","endPage":"1680","ipdsId":"IP-080179","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":408025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Puerco Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.9134521484375,\n 36.04465753921525\n ],\n [\n -108.050537109375,\n 36.03577394783581\n ],\n [\n -108.6602783203125,\n 35.652832827451654\n ],\n [\n -108.7371826171875,\n 34.800272350556824\n ],\n [\n -107.99011230468749,\n 34.288991865037524\n ],\n [\n -107.215576171875,\n 34.44315867450577\n ],\n [\n -106.776123046875,\n 34.384246040152185\n ],\n [\n -106.644287109375,\n 34.813803317113155\n ],\n [\n -106.644287109375,\n 35.0120020431607\n ],\n [\n -106.820068359375,\n 35.68853320738875\n ],\n [\n -106.9134521484375,\n 36.04465753921525\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"129","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2017-07-14","publicationStatus":"PW","contributors":{"authors":[{"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":853989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, John G.","contributorId":297384,"corporation":false,"usgs":false,"family":"Elliott","given":"John G.","affiliations":[],"preferred":false,"id":853990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavich, Milan","contributorId":297385,"corporation":false,"usgs":false,"family":"Pavich","given":"Milan","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":853991,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70224921,"text":"70224921 - 2017 - Understanding and finding solutions to the problem of sedimentation in the National Wildlife Refuge System","interactions":[],"lastModifiedDate":"2021-10-05T12:35:27.928126","indexId":"70224921","displayToPublicDate":"2017-07-01T07:31:20","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Understanding and finding solutions to the problem of sedimentation in the National Wildlife Refuge System","docAbstract":"The National Wildlife Refuge System (Refuge System) is a collection of public lands maintained by the U.S. Fish and Wildlife Service for migratory birds and other wildlife. Wetlands on individual National Wildlife Refuges (Refuges) may be at risk of increased sedimentation because of land use and water management practices. Increased sedimentation can reduce wetland habitat quality by altering hydrologic function, degrading water quality, and inhibiting growth of vegetation and invertebrates. On Refuges negatively affected by increased sedimentation, managers have to address complex questions about how to best remediate and mitigate the negative effects. The best way to account for these complexities is often not clear. On other Refuges, managers may not know whether sedimentation is a problem. Decision makers in the Refuge System may need to allocate resources to studying which Refuges could be at risk. Such analyses would help them understand where to direct support for managing increased sedimentation. In this paper, we summarize a case study demonstrating the use of decision-analytic tools in the development of a sedimentation management plan for Agassiz National Wildlife Refuge, Minnesota. Using what we learned from that process, we surveyed other Refuges in U.S. Fish and Wildlife Service Region 3 (an area encompassing the states of Illinois, Indiana, Iowa, Ohio, Michigan, Minnesota, Missouri, and Wisconsin) and Region 6 (an area encompassing the states of Colorado, Kansas, Montana, Nebraska, North Dakota, South Dakota, Utah, and Wyoming) about whether they experience sediment-related impacts to management. Our results show that cases of management being negatively affected by increased sedimentation are not isolated. We suggest that the Refuge System conduct a comprehensive and systematic assessment of increased sedimentation among Refuges to understand the importance of sedimentation in context with other management problems that Refuges face. The results of such an assessment could guide how the Refuge System allocates resources to studying and managing widespread stressors.
Soil microbial communities control critical ecosystem processes such as decomposition, nutrient cycling, and soil organic matter formation. Continental scale patterns in the composition and functioning of microbial communities are related to climatic, biotic, and edaphic factors such as temperature and precipitation, plant community composition, and soil carbon, nitrogen, and pH. Although these relationships have been well explored individually, the examination of the factors that may act directly on microbial communities vs. those that may act indirectly through other ecosystem properties has not been well developed. To further such understanding, we utilized structural equation modeling (SEM) to evaluate a set of hypotheses about the direct and indirect effects of climatic, biotic, and edaphic variables on microbial communities across the continental United States. The primary goals of this work were to test our current understanding of the interactions among climate, soils, and plants in affecting microbial community composition, and to examine whether variation in the composition of the microbial community affects potential rates of soil enzymatic activities. A model of interacting factors created through SEM shows several expected patterns. Distal factors such as climate had indirect effects on microbial communities by influencing plant productivity, soil mineralogy, and soil pH, but factors related to soil organic matter chemistry had the most direct influence on community composition. We observed that both plant productivity and soil mineral composition were important indirect influences on community composition at the continental scale, both interacting to affect organic matter content and microbial biomass and ultimately community composition. Although soil hydrolytic enzymes were related to the moisture regime and soil carbon, oxidative enzymes were also affected by community composition, reflected in the abundance of soil fungi. These results highlight that soil microbial communities can be modeled within the context of multiple interacting ecosystem properties acting both directly and indirectly on their composition and function, and this provides a rich and informative context with which to examine communities. This work also highlights that variation in climate, microbial biomass, and microbial community composition can affect maximum rates of soil enzyme activities, potentially influencing rates of decomposition and nutrient mineralization in soils.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1883","usgsCitation":"Waldrop, M.P., Holloway, J.M., Smith, D.B., Goldhaber, M.B., Drenovsky, R.E., Scow, K.M., Dick, R., Howard, D.M., Wylie, B.K., and Grace, J.B., 2017, The interacting roles of climate, soils, and plant production on soil microbial communities at a continental scale: Ecology, v. 98, no. 7, p. 1957-1967, https://doi.org/10.1002/ecy.1883.","productDescription":"11 p.","startPage":"1957","endPage":"1967","ipdsId":"IP-079060","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":351294,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":469707,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://collected.jcu.edu/fac_bib_2017/9","text":"Publisher Index Page"}],"volume":"98","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"5a7c1e7be4b00f54eb22934d","contributors":{"authors":[{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":727202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":727203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":138565,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":727204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":727205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drenovsky, R. E.","contributorId":201925,"corporation":false,"usgs":false,"family":"Drenovsky","given":"R.","email":"","middleInitial":"E.","affiliations":[{"id":36301,"text":"John Carroll Univeristy","active":true,"usgs":false}],"preferred":false,"id":727206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scow, K. M.","contributorId":201926,"corporation":false,"usgs":false,"family":"Scow","given":"K.","email":"","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":727207,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dick, R.","contributorId":201927,"corporation":false,"usgs":false,"family":"Dick","given":"R.","email":"","affiliations":[{"id":36302,"text":"Ohio State Univeristy","active":true,"usgs":false}],"preferred":false,"id":727208,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Howard, Daniel M. 0000-0002-7563-7538 danny.howard.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":197063,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel","email":"danny.howard.ctr@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":727209,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":727210,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727211,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70190677,"text":"70190677 - 2017 - Selenium: Mercury molar ratios in freshwater fish in the Columbia River Basin: Potential applications for specific fish consumption advisories","interactions":[],"lastModifiedDate":"2018-08-07T12:43:44","indexId":"70190677","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1024,"text":"Biological Trace Element Research","active":true,"publicationSubtype":{"id":10}},"title":"Selenium: Mercury molar ratios in freshwater fish in the Columbia River Basin: Potential applications for specific fish consumption advisories","docAbstract":"Fish provide a valuable source of beneficial nutrients and are an excellent source of low fat protein. However, fish are also the primary source of methylmercury exposure in humans. Selenium often co-occurs with mercury and there is some evidence that selenium can protect against mercury toxicity yet States issue fish consumption advisories based solely on the risks that methylmercury pose to human health. Recently, it has been suggested the selenium: mercury molar ratio be considered in risk management. In order for agencies to utilize the ratio to set consumption guidelines, it is important to evaluate the variability in selenium and mercury in different fish species. We examined 10 different freshwater fish species found within the Columbia River Basin in order to determine the inter- and intra-specific variability in the selenium: mercury molar ratios and the selenium health benefit values. We found significant variation in selenium: mercury molar ratios. The mean molar ratios for each species were all above 1:1, ranging from 3.42:1 in Walleye to 27.2:1 in Chinook salmon. There was a positive correlation between both mercury and selenium with length for each fish species apart from yellow perch and rainbow trout. All species had health benefit values greater than 2. We observed considerable variability in selenium: mercury molar ratios within fish species collected in the Columbia River Basin. Although incorporating selenium: mercury molar ratios into fish consumption holds the potential for refining advisories and assessing the risk of methylmercury exposure, the current understanding of how these ratios apply is insufficient, and further understanding of drivers of variability in the ratios is needed.
","language":"English","publisher":"Springer","doi":"10.1007/s12011-016-0907-9","usgsCitation":"Cusack, L.K., Eagles-Smith, C.A., Harding, A.K., Kile, M., and Stone, D., 2017, Selenium: Mercury molar ratios in freshwater fish in the Columbia River Basin: Potential applications for specific fish consumption advisories: Biological Trace Element Research, v. 178, no. 1, p. 136-146, https://doi.org/10.1007/s12011-016-0907-9.","productDescription":"11 p.","startPage":"136","endPage":"146","ipdsId":"IP-081806","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":345642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"178","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-12-08","publicationStatus":"PW","scienceBaseUri":"59b8f21ee4b08b1644e0aee0","contributors":{"authors":[{"text":"Cusack, Leanne K.","contributorId":196356,"corporation":false,"usgs":false,"family":"Cusack","given":"Leanne","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":710141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":710142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harding, Anna K.","contributorId":170035,"corporation":false,"usgs":false,"family":"Harding","given":"Anna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":710143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kile, Molly","contributorId":196357,"corporation":false,"usgs":false,"family":"Kile","given":"Molly","email":"","affiliations":[],"preferred":false,"id":710144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stone, Dave","contributorId":196358,"corporation":false,"usgs":false,"family":"Stone","given":"Dave","email":"","affiliations":[],"preferred":false,"id":710145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191328,"text":"70191328 - 2017 - Life history migrations of adult Yellowstone Cutthroat Trout in the upper Yellowstone River","interactions":[],"lastModifiedDate":"2017-10-05T14:13:29","indexId":"70191328","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Life history migrations of adult Yellowstone Cutthroat Trout in the upper Yellowstone River","docAbstract":"Knowledge of salmonid life history types at the watershed scale is increasingly recognized as a cornerstone for effective management. In this study, we used radiotelemetry to characterize the life history movements of Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri in the upper Yellowstone River, an extensive tributary that composes nearly half of the drainage area of Yellowstone Lake. In Yellowstone Lake, Yellowstone Cutthroat Trout have precipitously declined over the past 2 decades primarily due to predation from introduced Lake Trout Salvelinus namaycush. Radio tags were implanted in 152 Yellowstone Cutthroat Trout, and their movements monitored over 3 years. Ninety-six percent of tagged trout exhibited a lacustrine–adfluvial life history, migrating upstream a mean distance of 42.6 km to spawn, spending an average of 24 d in the Yellowstone River before returning to Yellowstone Lake. Once in the lake, complex postspawning movements were observed. Only 4% of radio-tagged trout exhibited a fluvial or fluvial–adfluvial life history. Low prevalence of fluvial and fluvial–adfluvial life histories was unexpected given the large size of the upper river drainage. Study results improve understanding of life history diversity in potamodromous salmonids inhabiting relatively undisturbed watersheds and provide a baseline for monitoring Yellowstone Cutthroat Trout response to management actions in Yellowstone Lake.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1313793","usgsCitation":"Ertel, B.D., McMahon, T., Koel, T., Gresswell, R.E., and Burckhardt, J., 2017, Life history migrations of adult Yellowstone Cutthroat Trout in the upper Yellowstone River: North American Journal of Fisheries Management, v. 37, no. 4, p. 743-755, https://doi.org/10.1080/02755947.2017.1313793.","productDescription":"13 p.","startPage":"743","endPage":"755","ipdsId":"IP-073367","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":469717,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1080/02755947.2017.1313793","text":"External Repository"},{"id":346433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Yellowstone River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.6158447265625,\n 43.51668853502906\n ],\n [\n -108.88000488281249,\n 43.51668853502906\n ],\n [\n -108.88000488281249,\n 44.63739123445585\n ],\n [\n -110.6158447265625,\n 44.63739123445585\n ],\n [\n -110.6158447265625,\n 43.51668853502906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-12","publicationStatus":"PW","scienceBaseUri":"59d744a2e4b05fe04cc7e31c","contributors":{"authors":[{"text":"Ertel, Brian D.","contributorId":181863,"corporation":false,"usgs":false,"family":"Ertel","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":711940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":711941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koel, Todd M.","contributorId":196920,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[],"preferred":false,"id":711942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":147914,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":711939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burckhardt, Jason 0009-0004-1951-4738","orcid":"https://orcid.org/0009-0004-1951-4738","contributorId":196921,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":711943,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193448,"text":"70193448 - 2017 - A new species of freshwater eel-tailed catfish of the genus Tandanus (Teleostei: Plotosidae) from coastal rivers of mid-northern New South Wales, Australia","interactions":[],"lastModifiedDate":"2017-11-10T17:56:07","indexId":"70193448","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"A new species of freshwater eel-tailed catfish of the genus Tandanus (Teleostei: Plotosidae) from coastal rivers of mid-northern New South Wales, Australia","docAbstract":"Tandanus bellingerensis, new species, is described based on specimens from four river drainages (Bellinger, Macleay, Hastings, and Manning rivers) of the mid-northern coast of New South Wales, Australia. Previously, three species were recognized in the genus Tandanus: T. tropicanus of the wet tropics region of northeast Queensland, T. tandanus of the Murray-Darling drainage and coastal streams of central-southern Queensland and New South Wales, and T. bostocki of southwestern Western Australia. The new species is distinguished from all congeners by a combination of the following morphologic characters: a high count of rays in the continuous caudodorsal and anal fins (range 153–169, mode 159), a high count of gill rakers on the first arch (range 35–39, mode 36), and strongly recurved posterior serrae of the pectoral-fin spine. Additionally, results from previously conducted genetic studies corroborate morphologic and taxonomic distinctness of the new species.
","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CI-16-547","usgsCitation":"Welsh, S., Jerry, D.R., Burrows, D., and Rourke, M.L., 2017, A new species of freshwater eel-tailed catfish of the genus Tandanus (Teleostei: Plotosidae) from coastal rivers of mid-northern New South Wales, Australia: Copeia, v. 105, no. 2, p. 229-236, https://doi.org/10.1643/CI-16-547.","productDescription":"8 p.","startPage":"229","endPage":"236","ipdsId":"IP-079377","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"New South Wales","volume":"105","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cce4b09af898c86114","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jerry, Dean R.","contributorId":171885,"corporation":false,"usgs":false,"family":"Jerry","given":"Dean","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burrows, Damien","contributorId":150475,"corporation":false,"usgs":false,"family":"Burrows","given":"Damien","email":"","affiliations":[],"preferred":false,"id":721634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rourke, Meaghan L.","contributorId":200255,"corporation":false,"usgs":false,"family":"Rourke","given":"Meaghan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721635,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193078,"text":"70193078 - 2017 - High-frequency dissolved organic carbon and nitrate measurements reveal differences in storm hysteresis and loading in relation to land cover and seasonality","interactions":[],"lastModifiedDate":"2017-11-11T13:59:42","indexId":"70193078","displayToPublicDate":"2017-07-01T00:00:00","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":"High-frequency dissolved organic carbon and nitrate measurements reveal differences in storm hysteresis and loading in relation to land cover and seasonality","docAbstract":"Utah chub Gila atraria is native to the Upper Snake River system in Wyoming and Idaho and to the Lake Bonneville Basin in Utah and southeastern Idaho. However, the Utah chub has been introduced into many other waterbodies in the western United States, where it competes with ecologically and economically important species. The objectives of this study were to evaluate between-reader precision and reader confidence in age estimates obtained from pectoral fin rays, lapilli (otoliths), asterisci (otoliths), and scales for Utah chubs collected from Henrys Lake, Idaho. Lapilli have been previously shown to provide accurate age estimates for Utah chubs; therefore, we sought to compare age estimates from fin rays, asterisci, and scales to those from lapilli. The between-reader coefficient of variation (CV) in age estimates was lowest and the percent of exact reader agreement (PA-0) was highest for pectoral fin rays (CV = 4.7, PA-0 = 74%), followed by scales (CV = 10.3, PA-0 = 52.3%), lapilli (CV = 11.6, PA-0 = 48.2%), and asterisci (CV = 13.0, PA-0 = 41.7%). Consensus age estimates from pectoral fin rays showed high concordance with consensus age estimates from lapilli. Our results indicate that pectoral fin rays provide the most precise age estimates for Utah chub. Pectoral fin rays are easily collected and processed and also provide age estimates without requiring fish sacrifice.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0206","usgsCitation":"Griffin, K.M., Beard, Z.S., Flinders, J.M., and Quist, M.C., 2017, Estimating ages of Utah chubs by use of pectoral fin rays, otoliths, and scales: Western North American Naturalist, v. 77, no. 2, p. 189-194, https://doi.org/10.3398/064.077.0206.","productDescription":"6 p.","startPage":"189","endPage":"194","ipdsId":"IP-079398","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488725,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss2/5","text":"External Repository"},{"id":348307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8b8e4b09af898c8cb9d","contributors":{"authors":[{"text":"Griffin, Kayla M","contributorId":200039,"corporation":false,"usgs":false,"family":"Griffin","given":"Kayla","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":720771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Zachary S.","contributorId":198840,"corporation":false,"usgs":false,"family":"Beard","given":"Zachary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flinders, John M.","contributorId":200040,"corporation":false,"usgs":false,"family":"Flinders","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720773,"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":717760,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192997,"text":"70192997 - 2017 - Mapping informal small-scale mining features in a data-sparse tropical environment with a small UAS","interactions":[],"lastModifiedDate":"2022-12-22T17:49:02.708399","indexId":"70192997","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5559,"text":"Journal of Unmanned Vehicle Systems","active":true,"publicationSubtype":{"id":10}},"title":"Mapping informal small-scale mining features in a data-sparse tropical environment with a small UAS","docAbstract":"This study evaluates the use of a small unmanned aerial system (UAS) to collect imagery over artisanal mining sites in West Africa. The purpose of this study is to consider how very high-resolution imagery and digital surface models (DSMs) derived from structure-from-motion (SfM) photogrammetric techniques from a small UAS can fill the gap in geospatial data collection between satellite imagery and data gathered during field work to map and monitor informal mining sites in tropical environments. The study compares both wide-angle and narrow field of view camera systems in the collection and analysis of high-resolution orthoimages and DSMs of artisanal mining pits. The results of the study indicate that UAS imagery and SfM photogrammetric techniques permit DSMs to be produced with a high degree of precision and relative accuracy, but highlight the challenges of mapping small artisanal mining pits in remote and data sparse terrain.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/juvs-2017-0002","usgsCitation":"Chirico, P.G., and Dewitt, J., 2017, Mapping informal small-scale mining features in a data-sparse tropical environment with a small UAS: Journal of Unmanned Vehicle Systems, v. 5, no. 3, p. 69-91, https://doi.org/10.1139/juvs-2017-0002.","productDescription":"23 p.","startPage":"69","endPage":"91","ipdsId":"IP-083399","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":349228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347668,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cdnsciencepub.com/doi/full/10.1139/juvs-2017-0002"}],"country":"Guinea","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-8.4393,7.68604],[-8.72212,7.71167],[-8.92606,7.30904],[-9.20879,7.31392],[-9.40335,7.52691],[-9.33728,7.92853],[-9.75534,8.54106],[-10.01657,8.4285],[-10.23009,8.40621],[-10.50548,8.3489],[-10.49432,8.71554],[-10.65477,8.97718],[-10.6224,9.26791],[-10.83915,9.68825],[-11.11748,10.04587],[-11.91728,10.04698],[-12.15034,9.85857],[-12.42593,9.83583],[-12.59672,9.62019],[-12.71196,9.34271],[-13.24655,8.90305],[-13.68515,9.49474],[-14.07404,9.88617],[-14.33008,10.01572],[-14.5797,10.21447],[-14.69323,10.6563],[-14.83955,10.87657],[-15.13031,11.04041],[-14.68569,11.52782],[-14.38219,11.50927],[-14.12141,11.67712],[-13.9008,11.67872],[-13.74316,11.81127],[-13.82827,12.14264],[-13.71874,12.24719],[-13.70048,12.58618],[-13.21782,12.57587],[-12.49905,12.33209],[-12.2786,12.35444],[-12.20356,12.46565],[-11.6583,12.38658],[-11.51394,12.44299],[-11.45617,12.07683],[-11.29757,12.07797],[-11.03656,12.21124],[-10.87083,12.17789],[-10.59322,11.92398],[-10.16521,11.84408],[-9.89099,12.06048],[-9.56791,12.19424],[-9.32762,12.33429],[-9.12747,12.30806],[-8.90526,12.08836],[-8.7861,11.81256],[-8.3763,11.39365],[-8.58131,11.13625],[-8.62032,10.81089],[-8.40731,10.90926],[-8.28236,10.7926],[-8.33538,10.49481],[-8.02994,10.20653],[-8.22934,10.12902],[-8.30962,9.78953],[-8.07911,9.37622],[-7.8321,8.5757],[-8.2035,8.45545],[-8.29905,8.31644],[-8.22179,8.12333],[-8.2807,7.68718],[-8.4393,7.68604]]]},\"properties\":{\"name\":\"Guinea\"}}]}","volume":"5","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c2328c","contributors":{"authors":[{"text":"Chirico, Peter G. 0000-0001-8375-5342 pchirico@usgs.gov","orcid":"https://orcid.org/0000-0001-8375-5342","contributorId":195555,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter","email":"pchirico@usgs.gov","middleInitial":"G.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":717564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dewitt, Jessica D. 0000-0002-8281-8134 jdewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-8134","contributorId":198894,"corporation":false,"usgs":true,"family":"Dewitt","given":"Jessica D.","email":"jdewitt@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":717565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192522,"text":"70192522 - 2017 - Species distribution models for a migratory bird based on citizen science and satellite tracking data","interactions":[],"lastModifiedDate":"2017-10-26T13:33:14","indexId":"70192522","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Species distribution models for a migratory bird based on citizen science and satellite tracking data","docAbstract":"Species distribution models can provide critical baseline distribution information for the conservation of poorly understood species. Here, we compared the performance of band-tailed pigeon (Patagioenas fasciata) species distribution models created using Maxent and derived from two separate presence-only occurrence data sources in New Mexico: 1) satellite tracked birds and 2) observations reported in eBird basic data set. Both models had good accuracy (test AUC > 0.8 and True Skill Statistic > 0.4), and high overlap between suitability scores (I statistic 0.786) and suitable habitat patches (relative rank 0.639). Our results suggest that, at the state-wide level, eBird occurrence data can effectively model similar species distributions as satellite tracking data. Climate change models for the band-tailed pigeon predict a 35% loss in area of suitable climate by 2070 if CO2 emissions drop to 1990 levels by 2100, and a 45% loss by 2070 if we continue current CO2 emission levels through the end of the century. These numbers may be conservative given the predicted increase in drought, wildfire, and forest pest impacts to the coniferous forests the species inhabits in New Mexico. The northern portion of the species’ range in New Mexico is predicted to be the most viable through time.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2017.08.001","usgsCitation":"Coxen, C.L., Frey, J.K., Carleton, S.A., and Collins, D.P., 2017, Species distribution models for a migratory bird based on citizen science and satellite tracking data: Global Ecology and Conservation, v. 11, p. 298-311, https://doi.org/10.1016/j.gecco.2017.08.001.","productDescription":"14 p.","startPage":"298","endPage":"311","ipdsId":"IP-087235","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2017.08.001","text":"Publisher Index Page"},{"id":347476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Daniel P.","contributorId":198065,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":716380,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196812,"text":"70196812 - 2017 - Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams","interactions":[],"lastModifiedDate":"2018-05-02T11:40:36","indexId":"70196812","displayToPublicDate":"2017-07-01T00:00:00","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":"Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams","docAbstract":"Headwater stream responses to climate change will depend in part on groundwater‐surface water exchanges. We used linear modeling techniques to partition likely effects of shallow groundwater seepage and air temperature on stream temperatures for 79 sites in nine focal watersheds using hourly air and water temperature measurements collected during summer months from 2012 to 2015 in Shenandoah National Park, Virginia, USA. Shallow groundwater effects exhibited more variation within watersheds than between them, indicating the importance of reach‐scale assessments and the limited capacity to extrapolate upstream groundwater influences from downstream measurements. Boosted regression tree (BRT) models revealed intricate interactions among geomorphological landform features (stream slope, elevation, network length, contributing area, and channel confinement) and seasonal precipitation patterns (winter, spring, and summer months) that together were robust predictors of spatial and temporal variation in groundwater influence on stream temperatures. The final BRT model performed well for training data and cross‐validated samples (correlation = 0.984 and 0.760, respectively). Geomorphological and precipitation predictors of groundwater influence varied in their importance between watersheds, suggesting differences in spatial and temporal controls of recharge dynamics and the depth of the groundwater source. We demonstrate an application of the final BRT model to predict groundwater effects from landform and precipitation covariates at 1075 new sites distributed at 100 m increments within focal watersheds. Our study provides a framework to estimate effects of groundwater seepage on stream temperature in unsampled locations. We discuss applications for climate change research to account for groundwater‐surface water interactions when projecting future thermal thresholds for stream biota.
","language":"English","publisher":"AGU","doi":"10.1002/2017WR020455","usgsCitation":"Johnson, Z.C., Snyder, C.D., and Hitt, N.P., 2017, Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams: Water Resources Research, v. 53, no. 7, p. 5788-5812, https://doi.org/10.1002/2017WR020455.","productDescription":"25 p.","startPage":"5788","endPage":"5812","ipdsId":"IP-086899","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469716,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020455","text":"Publisher Index Page"},{"id":438280,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B56H72","text":"USGS data release","linkHelpText":"Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia (ver. 2.0, May 3, 2018)"},{"id":353918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.85986328125,\n 38.09133660751176\n ],\n [\n -78.10455322265625,\n 38.09133660751176\n ],\n [\n -78.10455322265625,\n 38.90172091499795\n ],\n [\n -78.85986328125,\n 38.90172091499795\n ],\n [\n -78.85986328125,\n 38.09133660751176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc40b","contributors":{"authors":[{"text":"Johnson, Zachary C. 0000-0002-0149-5223","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":204647,"corporation":false,"usgs":false,"family":"Johnson","given":"Zachary","email":"","middleInitial":"C.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":734560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734561,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192631,"text":"70192631 - 2017 - Fine particle retention within stream storage areas at base flow and in response to a storm event","interactions":[],"lastModifiedDate":"2017-11-06T12:31:21","indexId":"70192631","displayToPublicDate":"2017-07-01T00:00:00","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":"Fine particle retention within stream storage areas at base flow and in response to a storm event","docAbstract":"Fine particles (1–100 µm), including particulate organic carbon (POC) and fine sediment, influence stream ecological functioning because they may contain or have a high affinity to sorb nitrogen and phosphorus. These particles are immobilized within stream storage areas, especially hyporheic sediments and benthic biofilms. However, fine particles are also known to remobilize under all flow conditions. This combination of downstream transport and transient retention, influenced by stream geomorphology, controls the distribution of residence times over which fine particles influence stream ecosystems. The main objective of this study was to quantify immobilization and remobilization rates of fine particles in a third-order sand-and-gravel bed stream (Difficult Run, Virginia, USA) within different geomorphic units of the stream (i.e., pool, lateral cavity, and thalweg). During our field injection experiment, a thunderstorm-driven spate allowed us to observe fine particle dynamics during both base flow and in response to increased flow. Solute and fine particles were measured within stream surface waters, pore waters, sediment cores, and biofilms on cobbles. Measurements were taken at four different subsurface locations with varying geomorphology and at multiple depths. Approximately 68% of injected fine particles were retained during base flow until the onset of the spate. Retention was evident even after the spate, with 15.4% of the fine particles deposited during base flow still retained within benthic biofilms on cobbles and 14.9% within hyporheic sediment after the spate. Thus, through the combination of short-term remobilization and long-term retention, fine particles can serve as sources of carbon and nutrients to downstream ecosystems over a range of time scales.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR020202","usgsCitation":"Drummond, J.D., Larsen, L.G., González-Pinzón, R., Packman, A.I., and Harvey, J., 2017, Fine particle retention within stream storage areas at base flow and in response to a storm event: Water Resources Research, v. 53, no. 7, p. 5690-5705, https://doi.org/10.1002/2016WR020202.","productDescription":"16 p.","startPage":"5690","endPage":"5705","ipdsId":"IP-085237","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr020202","text":"Publisher Index Page"},{"id":348266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Difficult Run","volume":"53","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-16","publicationStatus":"PW","scienceBaseUri":"5a07e8b9e4b09af898c8cba9","contributors":{"authors":[{"text":"Drummond, J. D.","contributorId":198633,"corporation":false,"usgs":false,"family":"Drummond","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":716597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, L. G.","contributorId":198634,"corporation":false,"usgs":false,"family":"Larsen","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":716598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"González-Pinzón, R.","contributorId":198635,"corporation":false,"usgs":false,"family":"González-Pinzón","given":"R.","affiliations":[],"preferred":false,"id":716599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Packman, A. I.","contributorId":198636,"corporation":false,"usgs":false,"family":"Packman","given":"A.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":716600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":716596,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193615,"text":"70193615 - 2017 - Evaluation of genetic population structure of smallmouth bass in the Susquehanna River basin, Pennsylvania","interactions":[],"lastModifiedDate":"2017-11-05T22:19:39","indexId":"70193615","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of genetic population structure of smallmouth bass in the Susquehanna River basin, Pennsylvania","docAbstract":"The Smallmouth Bass Micropterus dolomieu was introduced into the Susquehanna River basin, Pennsylvania, nearly 150 years ago. Since introduction, it has become an economically and ecologically important species that supports popular recreational fisheries. It is also one of the most abundant top predators in the system. Currently, there is no information on the level of genetic diversity or genetic structuring that may have occurred since introduction. An understanding of genetic diversity is important for the delineation of management units and investigation of gene flow at various management scales. The goals of this research were to investigate population genetic structure of Smallmouth Bass at sites within the Susquehanna River basin and to assess genetic differentiation relative to Smallmouth Bass at an out-of-basin site (Allegheny River, Pennsylvania) located within the species’ native range. During spring 2015, fin clips (n = 1,034) were collected from adults at 11 river sites and 13 tributary sites in the Susquehanna River basin and at one site on the Allegheny River. Fin clips were genotyped at 12 polymorphic microsatellite loci. Based on our results, adults sampled throughout the Susquehanna River basin did not represent separate genetic populations. There were only subtle differences in genetic diversity among sites (mean pairwise genetic differentiation index FST = 0.012), and there was an overall lack of population differentiation (K = 3 admixed populations). The greatest genetic differentiation was observed between fish collected from the out-of-basin site and those from the Susquehanna River basin sites. Knowledge that separate genetic populations of Smallmouth Bass do not exist in the Susquehanna River basin is valuable information for fisheries management in addition to providing baseline genetic data on an introduced sport fish population.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1327902","usgsCitation":"Schall, M.K., Bartron, M.L., Wertz, T., Niles, J.M., Shaw, C., and Wagner, T., 2017, Evaluation of genetic population structure of smallmouth bass in the Susquehanna River basin, Pennsylvania: North American Journal of Fisheries Management, v. 37, no. 4, p. 850-861, https://doi.org/10.1080/02755947.2017.1327902.","productDescription":"12 p.","startPage":"850","endPage":"861","ipdsId":"IP-079164","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River basin","volume":"37","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-16","publicationStatus":"PW","scienceBaseUri":"5a00314fe4b0531197b5a742","contributors":{"authors":[{"text":"Schall, Megan K.","contributorId":115964,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":17758,"text":"Pennsylvania State Univ.","active":true,"usgs":false}],"preferred":false,"id":720419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartron, Meredith L.","contributorId":149109,"corporation":false,"usgs":false,"family":"Bartron","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false},{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":720420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wertz, Timothy","contributorId":66866,"corporation":false,"usgs":false,"family":"Wertz","given":"Timothy","affiliations":[{"id":17703,"text":"Pennsylvania Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":720421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niles, Jonathan M.","contributorId":146975,"corporation":false,"usgs":false,"family":"Niles","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":35657,"text":"Susquehanna University, Selinsgrove, PA","active":true,"usgs":false}],"preferred":false,"id":720422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shaw, Cassidy H. 0000-0003-2639-1241","orcid":"https://orcid.org/0000-0003-2639-1241","contributorId":197773,"corporation":false,"usgs":true,"family":"Shaw","given":"Cassidy H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":720423,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720424,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192903,"text":"70192903 - 2017 - Habitat associations of juvenile Burbot in a tributary of the Kootenai River","interactions":[],"lastModifiedDate":"2017-12-14T17:04:43","indexId":"70192903","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Habitat associations of juvenile Burbot in a tributary of the Kootenai River","docAbstract":"Burbot Lota lota in the lower Kootenai River, Idaho, have been the focus of extensive conservation efforts, particularly conservation aquaculture. One of the primary management strategies has been the release of Burbot into small tributaries in the Kootenai River basin, such as Deep Creek. Since 2012, approximately 12,000 juvenile Burbot have been stocked into Deep Creek; however, little is known about the habitat use of stocked Burbot. The objective of this study was to evaluate habitat associations of juvenile Burbot in Deep Creek. Fish and habitat were sampled from 58 reaches of the creek. Regression models suggested that Burbot moved little after stocking and were associated with areas of high mean depth and coarse substrate. This study provides additional knowledge on habitat associations of juvenile Burbot and suggests that managers should consider selecting deep habitats with coarse substrate for stocking locations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1334702","usgsCitation":"Beard, Z.S., Quist, M.C., Hardy, R.S., and Ross, T.J., 2017, Habitat associations of juvenile Burbot in a tributary of the Kootenai River: Transactions of the American Fisheries Society, v. 146, no. 5, p. 1008-1015, https://doi.org/10.1080/00028487.2017.1334702.","productDescription":"8 p.","startPage":"1008","endPage":"1015","ipdsId":"IP-082047","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.65695190429686,\n 48.50113756368663\n ],\n [\n -116.18728637695311,\n 48.50113756368663\n ],\n [\n -116.18728637695311,\n 48.748039842585094\n ],\n [\n -116.65695190429686,\n 48.748039842585094\n ],\n [\n -116.65695190429686,\n 48.50113756368663\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-31","publicationStatus":"PW","scienceBaseUri":"5a07e8b8e4b09af898c8cba1","contributors":{"authors":[{"text":"Beard, Zachary S.","contributorId":198840,"corporation":false,"usgs":false,"family":"Beard","given":"Zachary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":717332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":717334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Tyler J.","contributorId":171777,"corporation":false,"usgs":false,"family":"Ross","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192070,"text":"70192070 - 2017 - Species’ traits help predict small mammal responses to habitat homogenization by an invasive grass","interactions":[],"lastModifiedDate":"2017-10-19T13:49:04","indexId":"70192070","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Species’ traits help predict small mammal responses to habitat homogenization by an invasive grass","docAbstract":"Invasive plants can negatively affect native species, however, the strength, direction, and shape of responses may vary depending on the type of habitat alteration and the natural history of native species. To prioritize conservation of vulnerable species, it is therefore critical to effectively predict species’ responses to invasive plants, which may be facilitated by a framework based on species’ traits. We studied the population and community responses of small mammals and changes in habitat heterogeneity across a gradient of cheatgrass (Bromus tectorum) cover, a widespread invasive plant in North America. We live-trapped small mammals over two summers and assessed the effect of cheatgrass on native small mammal abundance, richness, and species-specific and trait-based occupancy, while accounting for detection probability and other key habitat elements. Abundance was only estimated for the most common species, deer mice (Peromyscus maniculatus). All species were pooled for the trait-based occupancy analysis to quantify the ability of small mammal traits (habitat association, mode of locomotion, and diet) to predict responses to cheatgrass invasion. Habitat heterogeneity decreased with cheatgrass cover. Deer mouse abundance increased marginally with cheatgrass. Species richness did not vary with cheatgrass, however, pocket mouse (Perognathus spp.) and harvest mouse (Reithrodontomys spp.) occupancy tended to decrease and increase, respectively, with cheatgrass cover, suggesting a shift in community composition. Cheatgrass had little effect on occupancy for deer mice, 13-lined ground squirrels (Spermophilus tridecemlineatus), and Ord's kangaroo rat (Dipodomys ordii). Species’ responses to cheatgrass primarily corresponded with our a priori predictions based on species’ traits. The probability of occupancy varied significantly with a species’ habitat association but not with diet or mode of locomotion. When considered within the context of a rapid habitat change, such as caused by invasive plants, relevant species’ traits may provide a useful framework for predicting species’ responses to a variety of habitat disturbances. Understanding which species are likely to be most affected by exotic plant invasion will help facilitate more efficient, targeted management and conservation of native species and habitats.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1535","usgsCitation":"Ceradini, J.P., and Chalfoun, A.D., 2017, Species’ traits help predict small mammal responses to habitat homogenization by an invasive grass: Ecological Applications, v. 27, no. 5, p. 1451-1465, https://doi.org/10.1002/eap.1535.","productDescription":"15 p.","startPage":"1451","endPage":"1465","ipdsId":"IP-073819","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-17","publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c7c","contributors":{"authors":[{"text":"Ceradini, Joseph P.","contributorId":197676,"corporation":false,"usgs":false,"family":"Ceradini","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714061,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}