We apply GENMOM, a coupled atmosphere–ocean climate model, to simulate eight equilibrium time slices at 3000-year intervals for the past 21 000 years forced by changes in Earth–Sun geometry, atmospheric greenhouse gases (GHGs), continental ice sheets, and sea level. Simulated global cooling during the Last Glacial Maximum (LGM) is 3.8 ◦C and the rate of post-glacial warming is in overall agreement with recently published temperature reconstructions. The greatest rate of warming occurs between 15 and 12 ka (2.4 ◦C over land, 0.7 ◦C over oceans, and 1.4 ◦C globally) in response to changes in radiative forcing from the diminished extent of the Northern Hemisphere (NH) ice sheets and increases in GHGs and NH summer insolation. The modeled LGM and 6 ka temperature and precipitation climatologies are generally consistent with proxy reconstructions, the PMIP2 and PMIP3 simulations, and other paleoclimate data–model analyses. The model does not capture the mid-Holocene “thermal maximum” and gradual cooling to preindustrial (PI) global temperature found in the data. Simulated monsoonal precipitation in North Africa peaks between 12 and 9 ka at values ∼ 50 % greater than those of the PI, and Indian monsoonal precipitation peaks at 12 and 9 ka at values ∼ 45 % greater than the PI. GENMOM captures the reconstructed LGM extent of NH and Southern Hemisphere (SH) sea ice. The simulated present-day Antarctica Circumpolar Current (ACC) is ∼ 48 % weaker than the observed (62 versus 119 Sv). The simulated present-day Atlantic Meridional Overturning Circulation (AMOC) of 19.3 ± 1.4 Sv on the Bermuda Rise (33◦ N) is comparable with observed value of 18.7 ± 4.8 Sv. AMOC at 33◦ N is reduced by ∼ 15 % during the LGM, and the largest post-glacial increase (∼ 11 %) occurs during the 15 ka time slice.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-11-449-2015","usgsCitation":"Alder, J.R., and Hostetler, S.W., 2015, Global climate simulations at 3000-year intervals for the last 21 000 years with the GENMOM coupled atmosphere–ocean model: Climate of the Past, v. 11, p. 449-471, https://doi.org/10.5194/cp-11-449-2015.","productDescription":"23 p.","startPage":"449","endPage":"471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049480","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471673,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-11-449-2015","text":"Publisher Index Page"},{"id":311436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-17","publicationStatus":"PW","scienceBaseUri":"564c5dd0e4b0ebfbef0d347b","contributors":{"authors":[{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":579957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579958,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189370,"text":"70189370 - 2015 - Effects and quantification of acid runoff from sulfide-bearing rock deposited during construction of Highway E18, Norway","interactions":[],"lastModifiedDate":"2018-09-04T16:30:16","indexId":"70189370","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Effects and quantification of acid runoff from sulfide-bearing rock deposited during construction of Highway E18, Norway","docAbstract":"The Highway E18 between the cities of Grimstad and Kristiansand, southern Norway, constructed in the period 2006–2009, cuts through sulfide-bearing rock. The geology of this area is dominated by slowly-weathering gneiss and granites, and oxidation of fresh rock surfaces can result in acidification of surface water. Sulfide-containing rock waste from excavations during construction work was therefore deposited in three waste rock deposits off-site. The deposits consist of 630,000–2,360,000 metric tons of waste rock material. Shell sand and limestone gravel were added in layers in adequate amounts to mitigate initial acid runoff in one of the deposits. The shell sand addition was not adequate in the two others. The pH in the effluents from these two was reduced from 4.9–6.5 to 4.0–4.6, and Al concentrations increased from below 0.4 mg/L to 10–20 mg/L. Stream concentrations of trace metals increased by a factor of 25–400, highest for Ni, and then in decreasing order for Co, Mn, Cd, Zn and Cu. Concentrations of As, Cr and Fe remained unchanged. Ratios of Co/Ni and Cd/Zn indicate that the metal sources for these pair of metals are sphalerite and pyrite, respectively. Based on surveys and established critical limits for Al, surface waters downstream became toxic to fish and invertebrates. The sulfur release rates were remarkably stable in the monitoring period at all three sites. Annual sulfur release was 0.1–0.4% of the total amount of sulfur in the deposit, indicating release periods of 250–800 years. Precipitates of Al-hydroxysulfates, well-known from mining sites, were found at the base of the deposits, in streams and also along the ocean shore-line. The effects of added neutralization agents in the deposits and in treatment areas downstream gradually decreased, as indicated by reduced stream pH over time. Active measures are needed to avoid harmful ecological effects in the future.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.06.016","usgsCitation":"Hindar, A., and Nordstrom, D.K., 2015, Effects and quantification of acid runoff from sulfide-bearing rock deposited during construction of Highway E18, Norway: Applied Geochemistry, v. 62, p. 150-163, https://doi.org/10.1016/j.apgeochem.2014.06.016.","productDescription":"14 p.","startPage":"150","endPage":"163","ipdsId":"IP-057362","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471688,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11250/2564292","text":"External Repository"},{"id":343644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Norway","volume":"62","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59673543e4b0d1f9f05dd7df","contributors":{"authors":[{"text":"Hindar, Atle","contributorId":194512,"corporation":false,"usgs":false,"family":"Hindar","given":"Atle","email":"","affiliations":[],"preferred":false,"id":704407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":704406,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147802,"text":"70147802 - 2015 - Landsat Science Team meeting: Winter 2015","interactions":[],"lastModifiedDate":"2017-04-21T15:47:52","indexId":"70147802","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3555,"text":"The Earth Observer","active":true,"publicationSubtype":{"id":10}},"title":"Landsat Science Team meeting: Winter 2015","docAbstract":"The summer meeting of the joint U.S. Geological Survey (USGS)–NASA Landsat Science Team (LST) was held at the USGS’s Earth Resources Observation and Science (EROS) Center July 7-9, 2015, in Sioux Falls, SD. The LST co-chairs, Tom Loveland [EROS—Senior Scientist] and Jim Irons [NASA’s Goddard Space Flight Center (GSFC)—Landsat 8 Project Scientist], opened the three-day meeting on an upbeat note following the recent successful launch of the European Space Agency’s Sentinel-2 mission on June 23, 2015 (see image on page 14), and the news that work on Landsat 9 has begun, with a projected launch date of 2023.
With over 60 participants in attendance, this was the largest LST meeting ever held. Meeting topics on the first day included Sustainable Land Imaging and Landsat 9 development, Landsat 7 and 8 operations and data archiving, the Landsat 8 Thermal Infrared Sensor (TIRS) stray-light issue, and the successful Sentinel-2 launch. In addition, on days two and three the LST members presented updates on their Landsat science and applications research. All presentations are available at landsat.usgs.gov/science_LST_Team_ Meetings.php.
","language":"English","publisher":"NASA","usgsCitation":"Schroeder, T.A., Loveland, T., Wulder, M.A., and Irons, J.R., 2015, Landsat Science Team meeting: Winter 2015: The Earth Observer, v. 27, no. 6, p. 12-17.","productDescription":"6 p.","startPage":"12","endPage":"17","ipdsId":"IP-065489","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":340094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340093,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eospso.nasa.gov/sites/default/files/eo_pdfs/Nov%20Dec%202015_508_col.pdf"}],"volume":"27","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fb1a4ee4b0c3010a8087d1","contributors":{"authors":[{"text":"Schroeder, Todd A. taschroeder@fs.fed.us","contributorId":190802,"corporation":false,"usgs":false,"family":"Schroeder","given":"Todd","email":"taschroeder@fs.fed.us","middleInitial":"A.","affiliations":[],"preferred":false,"id":692438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":546324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulder, Michael A.","contributorId":103584,"corporation":false,"usgs":true,"family":"Wulder","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":546325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":546326,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168392,"text":"70168392 - 2015 - Predictions of future ephemeral springtime waterbird stopover habitat availability under global change","interactions":[],"lastModifiedDate":"2016-02-11T09:52:01","indexId":"70168392","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Predictions of future ephemeral springtime waterbird stopover habitat availability under global change","docAbstract":"In the present period of rapid, worldwide change in climate and landuse (i.e., global change), successful biodiversity conservation warrants proactive management responses, especially for long-distance migratory species. However, the development and implementation of management strategies can be impeded by high levels of uncertainty and low levels of control over potentially impactful future events and their effects. Scenario planning and modeling are useful tools for expanding perspectives and informing decisions under these conditions. We coupled scenario planning and statistical modeling to explain and predict playa wetland inundation (i.e., presence/absence of water) and ponded area (i.e., extent of water) in the Rainwater Basin, an anthropogenically altered landscape that provides critical stopover habitat for migratory waterbirds. Inundation and ponded area models for total wetlands, those embedded in rowcrop fields, and those not embedded in rowcrop fields were trained and tested with wetland ponding data from 2004 and 2006–2009, and then used to make additional predictions under two alternative climate change scenarios for the year 2050, yielding a total of six predictive models and 18 prediction sets. Model performance ranged from moderate to good, with inundation models outperforming ponded area models, and models for non-rowcrop-embedded wetlands outperforming models for total wetlands and rowcrop-embedded wetlands. Model predictions indicate that if the temperature and precipitation changes assumed under our climate change scenarios occur, wetland stopover habitat availability in the Rainwater Basin could decrease in the future. The results of this and similar studies could be aggregated to increase knowledge about the potential spatial and temporal distributions of future stopover habitat along migration corridors, and to develop and prioritize multi-scale management actions aimed at mitigating the detrimental effects of global change on migratory waterbird populations.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES15-00256.1","usgsCitation":"Uden, D.R., Allen, C.R., Bishop, A.A., Grosse, R., Jorgensen, C.F., LaGrange, T.G., Stutheit, R.G., and Vrtiska, M.P., 2015, Predictions of future ephemeral springtime waterbird stopover habitat availability under global change: Ecosphere, v. 6, no. 11, p. 1-26, https://doi.org/10.1890/ES15-00256.1.","productDescription":"26 p.","startPage":"1","endPage":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067091","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es15-00256.1","text":"Publisher Index Page"},{"id":317932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Rainwater Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.77783203125,\n 40.22921818870117\n ],\n [\n -99.77783203125,\n 41.541477666790286\n ],\n [\n -96.591796875,\n 41.541477666790286\n ],\n [\n -96.591796875,\n 40.22921818870117\n ],\n [\n -99.77783203125,\n 40.22921818870117\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-09","publicationStatus":"PW","scienceBaseUri":"56bdbec8e4b06458514aeed9","contributors":{"authors":[{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":619874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, Andrew A.","contributorId":93323,"corporation":false,"usgs":true,"family":"Bishop","given":"Andrew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":619875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, Roger","contributorId":166720,"corporation":false,"usgs":false,"family":"Grosse","given":"Roger","email":"","affiliations":[],"preferred":false,"id":619876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jorgensen, Christopher F.","contributorId":87444,"corporation":false,"usgs":true,"family":"Jorgensen","given":"Christopher","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":619877,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaGrange, Theodore G.","contributorId":166721,"corporation":false,"usgs":false,"family":"LaGrange","given":"Theodore","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":619878,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stutheit, Randy G.","contributorId":166722,"corporation":false,"usgs":false,"family":"Stutheit","given":"Randy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":619879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":619880,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70186009,"text":"70186009 - 2015 - LIMS for Lasers 2015 for achieving long-term accuracy and precision of δ2H, δ17O, and δ18O of waters using laser absorption spectrometry","interactions":[],"lastModifiedDate":"2021-04-27T18:27:34.728232","indexId":"70186009","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"LIMS for Lasers 2015 for achieving long-term accuracy and precision of δ2H, δ17O, and δ18O of waters using laser absorption spectrometry","title":"LIMS for Lasers 2015 for achieving long-term accuracy and precision of δ2H, δ17O, and δ18O of waters using laser absorption spectrometry","docAbstract":"Rationale
Although laser absorption spectrometry (LAS) instrumentation is easy to use, its incorporation into laboratory operations is not easy, owing to extensive offline manipulation of comma-separated-values files for outlier detection, between-sample memory correction, nonlinearity (δ-variation with water amount) correction, drift correction, normalization to VSMOW-SLAP scales, and difficulty in performing long-term QA/QC audits.
Methods
A Microsoft Access relational-database application, LIMS (Laboratory Information Management System) for Lasers 2015, was developed. It automates LAS data corrections and manages clients, projects, samples, instrument-sample lists, and triple-isotope (δ17O, δ18O, and δ2H values) instrumental data for liquid-water samples. It enables users to (1) graphically evaluate sample injections for variable water yields and high isotope-delta variance; (2) correct for between-sample carryover, instrumental drift, and δ nonlinearity; and (3) normalize final results to VSMOW-SLAP scales.
Results
Cost-free LIMS for Lasers 2015 enables users to obtain improved δ17O, δ18O, and δ2H values with liquid-water LAS instruments, even those with under-performing syringes. For example, LAS δ2HVSMOW measurements of USGS50 Lake Kyoga (Uganda) water using an under-performing syringe having ±10 % variation in water concentration gave +31.7 ± 1.6 ‰ (2-σ standard deviation), compared with the reference value of +32.8 ± 0.4 ‰, after correction for variation in δ value with water concentration, between-sample memory, and normalization to the VSMOW-SLAP scale.
Conclusions
LIMS for Lasers 2015 enables users to create systematic, well-founded instrument templates, import δ2H, δ17O, and δ18O results, evaluate performance with automatic graphical plots, correct for δ nonlinearity due to variable water concentration, correct for between-sample memory, adjust for drift, perform VSMOW-SLAP normalization, and perform long-term QA/QC audits easily. Published in 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/rcm.7372","usgsCitation":"Coplen, T.B., and Wassenaar, L.I., 2015, LIMS for Lasers 2015 for achieving long-term accuracy and precision of δ2H, δ17O, and δ18O of waters using laser absorption spectrometry: Rapid Communications in Mass Spectrometry, v. 29, no. 22, p. 2122-2130, https://doi.org/10.1002/rcm.7372.","productDescription":"9 p.","startPage":"2122","endPage":"2130","ipdsId":"IP-052265","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"22","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-13","publicationStatus":"PW","scienceBaseUri":"58de1950e4b02ff32c699ca9","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":687333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wassenaar, Leonard I","contributorId":150277,"corporation":false,"usgs":false,"family":"Wassenaar","given":"Leonard","email":"","middleInitial":"I","affiliations":[{"id":17954,"text":"International Atomic Energy Agency, Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":687334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159857,"text":"70159857 - 2015 - Further assessment of Monkeypox Virus infection in Gambian pouched rats (Cricetomys gambianus) using in vivo bioluminescent imaging","interactions":[],"lastModifiedDate":"2016-06-17T11:15:52","indexId":"70159857","displayToPublicDate":"2015-10-30T02:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Further assessment of Monkeypox Virus infection in Gambian pouched rats (Cricetomys gambianus) using in vivo bioluminescent imaging","docAbstract":"Monkeypox is a zoonosis clinically similar to smallpox in humans. Recent evidence has shown a potential risk of increased incidence in central Africa. Despite attempts to isolate the virus from wild rodents and other small mammals, no reservoir host has been identified. In 2003,Monkeypox virus (MPXV) was accidentally introduced into the U.S. via the pet trade and was associated with the Gambian pouched rat (Cricetomys gambianus). Therefore, we investigated the potential reservoir competence of the Gambian pouched rat for MPXV by utilizing a combination of in vivo and in vitro methods. We inoculated three animals by the intradermal route and three animals by the intranasal route, with one mock-infected control for each route. Bioluminescent imaging (BLI) was used to track replicating virus in infected animals and virological assays (e.g. real time PCR, cell culture) were used to determine viral load in blood, urine, ocular, nasal, oral, and rectal swabs. Intradermal inoculation resulted in clinical signs of monkeypox infection in two of three animals. One severely ill animal was euthanized and the other affected animal recovered. In contrast, intranasal inoculation resulted in subclinical infection in all three animals. All animals, regardless of apparent or inapparent infection, shed virus in oral and nasal secretions. Additionally, BLI identified viral replication in the skin without grossly visible lesions. These results suggest that Gambian pouched rats may play an important role in transmission of the virus to humans, as they are hunted for consumption and it is possible for MPXV-infected pouched rats to shed infectious virus without displaying overt clinical signs.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pntd.0004130","usgsCitation":"Falendysz, E., Lopera, J.G., Faye Lorenzsonn, Salzer, J.S., Hutson, C.L., Doty, J., Gallardo-Romero, N., Carroll, D., Osorio, J., and Rocke, T.E., 2015, Further assessment of Monkeypox Virus infection in Gambian pouched rats (Cricetomys gambianus) using in vivo bioluminescent imaging: PLoS Neglected Tropical Diseases, 19 p., https://doi.org/10.1371/journal.pntd.0004130.","productDescription":"19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066100","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":471691,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0004130","text":"Publisher Index Page"},{"id":312020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-30","publicationStatus":"PW","scienceBaseUri":"5666bbd7e4b06a3ea36c8b21","contributors":{"authors":[{"text":"Falendysz, Elizabeth 0000-0003-2895-8918 efalendysz@usgs.gov","orcid":"https://orcid.org/0000-0003-2895-8918","contributorId":127751,"corporation":false,"usgs":true,"family":"Falendysz","given":"Elizabeth","email":"efalendysz@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lopera, Juan G.","contributorId":7574,"corporation":false,"usgs":false,"family":"Lopera","given":"Juan","email":"","middleInitial":"G.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":580749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faye Lorenzsonn","contributorId":150100,"corporation":false,"usgs":false,"family":"Faye Lorenzsonn","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":580750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salzer, Johanna S.","contributorId":150382,"corporation":false,"usgs":false,"family":"Salzer","given":"Johanna","email":"","middleInitial":"S.","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":false,"id":581490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hutson, Christina L.","contributorId":150102,"corporation":false,"usgs":false,"family":"Hutson","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":580753,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doty, Jeffrey","contributorId":150103,"corporation":false,"usgs":false,"family":"Doty","given":"Jeffrey","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":580754,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallardo-Romero, Nadia","contributorId":150104,"corporation":false,"usgs":false,"family":"Gallardo-Romero","given":"Nadia","email":"","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":580755,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carroll, Darin S.","contributorId":150113,"corporation":false,"usgs":false,"family":"Carroll","given":"Darin S.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":580756,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Osorio, Jorge E.","contributorId":50392,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge E.","affiliations":[{"id":13052,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":581491,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580747,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70159858,"text":"70159858 - 2015 - Laboratory investigations of African Pouched Rats (Cricetomys gambianus) as a potential reservoir host species for Monkeypox Virus","interactions":[],"lastModifiedDate":"2016-06-17T11:15:03","indexId":"70159858","displayToPublicDate":"2015-10-30T02:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory investigations of African Pouched Rats (Cricetomys gambianus) as a potential reservoir host species for Monkeypox Virus","docAbstract":"Monkeypox is a zoonotic disease endemic to central and western Africa, where it is a major public health concern. Although Monkeypox virus (MPXV) and monkeypox disease in humans have been well characterized, little is known about its natural history, or its maintenance in animal populations of sylvatic reservoir(s). In 2003, several species of rodents imported from Ghana were involved in a monkeypox outbreak in the United States with individuals of three African rodent genera (Cricetomys, Graphiurus, Funisciurus) shown to be infected with MPXV. Here, we examine the course of MPXV infection in Cricetomys gambianus (pouched Gambian rats) and this rodent species’ competence as a host for the virus. We obtained ten Gambian rats from an introduced colony in Grassy Key, Florida and infected eight of these via scarification with a challenge dose of 4X104 plaque forming units (pfu) from either of the two primary clades of MPXV: Congo Basin (C-MPXV: n = 4) or West African (W-MPXV: n = 4); an additional 2 animals served as PBS controls. Viral shedding and the effect of infection on activity and physiological aspects of the animals were measured. MPXV challenged animals had significantly higher core body temperatures, reduced activity and increased weight loss than PBS controls. Viable virus was found in samples taken from animals in both experimental groups (C-MPXV and W-MPXV) between 3 and 27 days post infection (p.i.) (up to 1X108pfu/ml), with viral DNA found until day 56 p.i. The results from this work show that Cricetomys gambianus (and by inference, probably the closely related species, Cricetomys emini) can be infected with MPXV and shed viable virus particles; thus suggesting that these animals may be involved in the maintenance of MPXV in wildlife mammalian populations. More research is needed to elucidate the epidemiology of MPXV and the role of Gambian rats and other species.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pntd.0004013","usgsCitation":"Hutson, C.L., Nakazawa, Y.J., Self, J., Olson, V.A., Regnery, R.L., Braden, Z., Weiss, S., Malekani, J., Jackson, E., Tate, M., Karem, K.L., Rocke, T.E., Osorio, J., Damon, I.K., and Carroll, D., 2015, Laboratory investigations of African Pouched Rats (Cricetomys gambianus) as a potential reservoir host species for Monkeypox Virus: PLoS Neglected Tropical Diseases, 20 p., https://doi.org/10.1371/journal.pntd.0004013.","productDescription":"20 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066058","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":471692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0004013","text":"Publisher Index 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sample.","interactions":[],"lastModifiedDate":"2016-07-13T09:01:44","indexId":"70174542","displayToPublicDate":"2015-10-29T22:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5099,"text":"Genome Announcements","active":true,"publicationSubtype":{"id":10}},"title":"Isolation of a complete circular virus genome sequence from an Alaskan black-capped chickadee (Poecile atricapillus) gastrointestinal tract sample.","docAbstract":"We report here the genome sequence of a circular virus isolated from samples of an Alaskan black-capped chickadee (Poecile atricapillus) gastrointestinal tract. The genome is 2,152 bp in length and is most similar (30 to 44.5% amino acid identity) to the genome sequences of other single-stranded DNA (ssDNA) circular viruses belonging to the gemycircularvirus group.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/genomeA.01081-15","usgsCitation":"Hanna, Z.R., Runckel, C., Fuchs, J., DeRisi, J.L., Mindell, D.P., Van Hemert, C.R., Handel, C.M., and Dumbacher, J.P., 2015, Isolation of a complete circular virus genome sequence from an Alaskan black-capped chickadee (Poecile atricapillus) gastrointestinal tract sample.: Genome Announcements, v. 3, no. 5, p. e01081-15-e01081-16, https://doi.org/10.1128/genomeA.01081-15.","productDescription":"2 p.","startPage":"e01081-15","endPage":"e01081-16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067219","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/genomea.01081-15","text":"Publisher Index Page"},{"id":325165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5787662fe4b0d27deb36e18b","contributors":{"authors":[{"text":"Hanna, Zachary R.","contributorId":172860,"corporation":false,"usgs":false,"family":"Hanna","given":"Zachary","email":"","middleInitial":"R.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":642311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runckel, Charles","contributorId":172861,"corporation":false,"usgs":false,"family":"Runckel","given":"Charles","email":"","affiliations":[{"id":27104,"text":"University of California San Francisco; Howard Hughes Medical Center","active":true,"usgs":false}],"preferred":false,"id":642312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuchs, Jerome","contributorId":172862,"corporation":false,"usgs":false,"family":"Fuchs","given":"Jerome","email":"","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":642313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeRisi, Joseph L.","contributorId":172863,"corporation":false,"usgs":false,"family":"DeRisi","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":27105,"text":"University of California San Francisco; Howard Hughes Medical Institute","active":true,"usgs":false}],"preferred":false,"id":642314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mindell, David P.","contributorId":16762,"corporation":false,"usgs":false,"family":"Mindell","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":642315,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":642309,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":642310,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dumbacher, John P.","contributorId":172864,"corporation":false,"usgs":false,"family":"Dumbacher","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":642316,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70159422,"text":"70159422 - 2015 - Marsh canopy leaf area and orientation calculated for improved marsh structure mapping","interactions":[],"lastModifiedDate":"2016-07-17T23:30:47","indexId":"70159422","displayToPublicDate":"2015-10-29T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Marsh canopy leaf area and orientation calculated for improved marsh structure mapping","docAbstract":"An approach is presented for producing the spatiotemporal estimation of leaf area index (LAI) of a highly heterogeneous coastal marsh without reliance on user estimates of marsh leaf-stem orientation. The canopy LAI profile derivation used three years of field measured photosynthetically active radiation (PAR) vertical profiles at seven S. alterniflora marsh sites and iterative transform of those PAR attenuation profiles to best-fit light extinction coefficients (KM). KM sun zenith dependency was removed obtaining the leaf angle distribution (LAD) representing the average marsh orientation and the LAD used to calculate the LAI canopy profile. LAI and LAD reproduced measured PAR profiles with 99% accuracy and corresponded to field documented structures. LAI and LAD better reflect marsh structure and results substantiate the need to account for marsh orientation. The structure indexes are directly amenable to remote sensing spatiotemporal mapping and offer a more meaningful representation of wetland systems promoting biophysical function understanding.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.81.10.807","usgsCitation":"Ramsey, E.W., Rangoonwala, A., Jones, C.E., and Bannister, T., 2015, Marsh canopy leaf area and orientation calculated for improved marsh structure mapping: Photogrammetric Engineering and Remote Sensing, v. 81, no. 10, p. 807-816, https://doi.org/10.14358/PERS.81.10.807.","productDescription":"10 p.","startPage":"807","endPage":"816","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061319","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.81.10.807","text":"Publisher Index Page"},{"id":310766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"10","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56333585e4b048076347ee9f","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":2883,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":578524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":578525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Cathleen E.","contributorId":11890,"corporation":false,"usgs":true,"family":"Jones","given":"Cathleen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":578526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannister, Terri","contributorId":82836,"corporation":false,"usgs":true,"family":"Bannister","given":"Terri","email":"","affiliations":[],"preferred":false,"id":578527,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159427,"text":"70159427 - 2015 - Developing a workflow to identify inconsistencies in volunteered geographic information: a phenological case study","interactions":[],"lastModifiedDate":"2015-11-09T09:07:29","indexId":"70159427","displayToPublicDate":"2015-10-29T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Developing a workflow to identify inconsistencies in volunteered geographic information: a phenological case study","docAbstract":"Recent improvements in online information communication and mobile location-aware technologies have led to the production of large volumes of volunteered geographic information. Widespread, large-scale efforts by volunteers to collect data can inform and drive scientific advances in diverse fields, including ecology and climatology. Traditional workflows to check the quality of such volunteered information can be costly and time consuming as they heavily rely on human interventions. However, identifying factors that can influence data quality, such as inconsistency, is crucial when these data are used in modeling and decision-making frameworks. Recently developed workflows use simple statistical approaches that assume that the majority of the information is consistent. However, this assumption is not generalizable, and ignores underlying geographic and environmental contextual variability that may explain apparent inconsistencies. Here we describe an automated workflow to check inconsistency based on the availability of contextual environmental information for sampling locations. The workflow consists of three steps: (1) dimensionality reduction to facilitate further analysis and interpretation of results, (2) model-based clustering to group observations according to their contextual conditions, and (3) identification of inconsistent observations within each cluster. The workflow was applied to volunteered observations of flowering in common and cloned lilac plants (Syringa vulgaris and Syringa x chinensis) in the United States for the period 1980 to 2013. About 97% of the observations for both common and cloned lilacs were flagged as consistent, indicating that volunteers provided reliable information for this case study. Relative to the original dataset, the exclusion of inconsistent observations changed the apparent rate of change in lilac bloom dates by two days per decade, indicating the importance of inconsistency checking as a key step in data quality assessment for volunteered geographic information. Initiatives that leverage volunteered geographic information can adapt this workflow to improve the quality of their datasets and the robustness of their scientific analyses.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0140811","usgsCitation":"Mehdipoor, H., Zurita-Milla, R., Rosemartin, A., Gerst, K., and Weltzin, J., 2015, Developing a workflow to identify inconsistencies in volunteered geographic information: a phenological case study: PLoS ONE, v. 10, no. 10, e0140811: 14 p., https://doi.org/10.1371/journal.pone.0140811.","productDescription":"e0140811: 14 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065123","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":471696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0140811","text":"Publisher Index Page"},{"id":310762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-20","publicationStatus":"PW","scienceBaseUri":"56333584e4b048076347ee9d","contributors":{"authors":[{"text":"Mehdipoor, Hamed","contributorId":146212,"corporation":false,"usgs":false,"family":"Mehdipoor","given":"Hamed","email":"","affiliations":[{"id":16630,"text":"Department of Geo-Information Processing, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":578558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zurita-Milla, Raul","contributorId":146213,"corporation":false,"usgs":false,"family":"Zurita-Milla","given":"Raul","email":"","affiliations":[{"id":16630,"text":"Department of Geo-Information Processing, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":578559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosemartin, Alyssa","contributorId":29766,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","affiliations":[],"preferred":false,"id":578560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerst, Katharine L.","contributorId":29739,"corporation":false,"usgs":true,"family":"Gerst","given":"Katharine L.","affiliations":[],"preferred":false,"id":578561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":149476,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":578557,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70158668,"text":"sir20155144 - 2015 - Concentration comparison of selected constituents between groundwater samples collected within the Missouri River alluvial aquifer using purge and pump and grab-sampling methods, near the city of Independence, Missouri, 2013","interactions":[],"lastModifiedDate":"2019-12-30T14:37:53","indexId":"sir20155144","displayToPublicDate":"2015-10-29T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5144","title":"Concentration comparison of selected constituents between groundwater samples collected within the Missouri River alluvial aquifer using purge and pump and grab-sampling methods, near the city of Independence, Missouri, 2013","docAbstract":"The U.S. Geological Survey, in cooperation with the City of Independence, Missouri, Water Department, has historically collected water-quality samples using the purge and pump method (hereafter referred to as pump method) to identify potential contamination in groundwater supply wells within the Independence well field. If grab sample results are comparable to the pump method, grab samplers may reduce time, labor, and overall cost. This study was designed to compare constituent concentrations between samples collected within the Independence well field using the pump method and the grab method.
\nRelative percent differences between environmental grab and duplicate grab samples were greater than 10 percent for 80 percent of the constituents. Duplicate grab samples were collected by tethering two grab samplers together, because the amount of water collected by each grab sampler is close to the amount necessary for analysis. The screened interval lengths of monitoring wells within the Independence well field is not conducive to collecting multiple grab samples by tethering samplers. The inability to collect required duplicate quality assurance samples may limit the use of grab samplers.
\nConcentrations between pump and grab samples were similar for analyzed nutrient species, the variability between methods was less than the variability between historical duplicate samples, and there were no significant differences determined. Major ion relative percent differences were less than 10 percent and root mean square error differences between methods and between historical duplicate samples were less than 1 milligram per liter with the exception of sulfate. Statistically significant differences were determined between pump and grab samples for sodium and fluoride. There is a strong association between major ion pump and grab samples based on bivariate plots and simple linear regressions. Variability between pump and grab samples of analyzed nutrients and major ions may have minimal effect on the ability to monitor temporal changes and potential groundwater contamination threats.
\nRelative percent differences between methods were greater than 10 percent for most analyzed trace elements. Barium, cobalt, manganese, and boron had concentrations that were significantly different between sampling methods. Barium, molybdenum, boron, and uranium method concentrations indicate a close association between pump and grab samples based on bivariate plots and simple linear regressions. Grab sample concentrations were generally larger than pump concentrations for these elements and may be because of using a larger pore sized filter for grab samples. Analysis of zinc blank samples suggests zinc contamination in filtered grab samples. Variations of analyzed trace elements between pump and grab samples could reduce the ability to monitor temporal changes and potential groundwater contamination threats. The degree of precision necessary for monitoring potential groundwater threats and application objectives need to be considered when determining acceptable variation amounts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155144","collaboration":"Prepared in cooperation with the City of Independence, Missouri, Water Department","usgsCitation":"Krempa, H.M., 2015, Concentration comparison of selected constituents between groundwater samples collected within the Missouri River alluvial aquifer using purge and pump and grab-sampling methods, near the City of\nIndependence, Missouri, 2013: U.S. Geological Survey Scientific Investigations report 2015–5144, 19 p.,\nhttps://dx.doi.org/10.3133/sir20155144.","productDescription":"v, 19 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066496","costCenters":[{"id":396,"text":"Missouri Water Science 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Missouri Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
http://mo.water.usgs.gov/
Carbon cycling in mangrove forests represents a significant portion of the coastal wetland carbon (C) budget across the latitudes of the tropics and subtropics. Previous research suggests fluctuations in tidal inundation, temperature and salinity can influence forest metabolism and C cycling. Carbon dioxide (CO2) from respiration that occurs from below the canopy is contributed from different components. In this study, we investigated variation in CO2 flux among different below-canopy components (soil, leaf litter, course woody debris, soil including pneumatophores, prop roots, and surface water) in a riverine mangrove forest of Shark River Slough estuary, Everglades National Park (Florida, USA). The range in CO2 flux from different components exceeded that measured among sites along the oligohaline-saline gradient. Black mangrove (Avicennia germinans) pneumatophores contributed the largest average CO2 flux. Over a narrow range of estuarine salinity (25–35 practical salinity units (PSU)), increased salinity resulted in lower CO2 flux to the atmosphere. Tidal inundation reduced soil CO2 flux overall but increased the partial pressure of CO2 (pCO2) observed in the overlying surface water upon flooding. Higher pCO2 in surface water is then subject to tidally driven export, largely as HCO3. Integration and scaling of CO2 flux rates to forest scale allowed for improved understanding of the relative contribution of different below-canopy components to mangrove forest ecosystem respiration (ER). Summing component CO2fluxes suggests a more significant contribution of below-canopy respiration to ER than previously considered. An understanding of below-canopy CO2 component fluxes and their contributions to ER can help to elucidate how C cycling will change with discrete disturbance events (e.g., hurricanes) and long-term change, including sea-level rise, and potential impact mangrove forests. As such, key controls on below-canopy ER must be taken into consideration when developing and modeling mangrove forest C budgets.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2014.12.012","usgsCitation":"Troxler, T.G., Barr, J.G., Fuentes, J.D., Engel, V.C., Anderson, G.H., Sanchez, C., Lagomosino, D., Price, R., and Davis, S., 2015, Component-specific dynamics of riverine mangrove CO2 efflux in the Florida coastal Everglades: Agricultural and Forest Meteorology, v. 213, p. 273-282, https://doi.org/10.1016/j.agrformet.2014.12.012.","productDescription":"10 p.","startPage":"273","endPage":"282","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059705","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471698,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2014.12.012","text":"Publisher Index Page"},{"id":310747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Shark River Slough","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.8701171875,\n 24.886436490787688\n ],\n [\n -81.8701171875,\n 26.165298896316042\n ],\n [\n -80.00244140625,\n 26.165298896316042\n ],\n [\n -80.00244140625,\n 24.886436490787688\n ],\n [\n -81.8701171875,\n 24.886436490787688\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"213","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56333581e4b048076347ee97","contributors":{"authors":[{"text":"Troxler, Tiffany G.","contributorId":140212,"corporation":false,"usgs":false,"family":"Troxler","given":"Tiffany","email":"","middleInitial":"G.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":578646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barr, Jordan G.","contributorId":85809,"corporation":false,"usgs":false,"family":"Barr","given":"Jordan","email":"","middleInitial":"G.","affiliations":[{"id":13531,"text":"South Florida Natural Resource Center, Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":578647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuentes, Jose D.","contributorId":97231,"corporation":false,"usgs":true,"family":"Fuentes","given":"Jose","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":578648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engel, Victor C. 0000-0002-3858-7308 vengel@usgs.gov","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":2329,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","email":"vengel@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":578645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Gordon H. 0000-0003-1675-8329 gordon_anderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1675-8329","contributorId":2771,"corporation":false,"usgs":true,"family":"Anderson","given":"Gordon","email":"gordon_anderson@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":578649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanchez, Christopher","contributorId":149511,"corporation":false,"usgs":false,"family":"Sanchez","given":"Christopher","email":"","affiliations":[{"id":17759,"text":"Univ. of Miami","active":true,"usgs":false}],"preferred":false,"id":578650,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lagomosino, David","contributorId":149512,"corporation":false,"usgs":false,"family":"Lagomosino","given":"David","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":578651,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Price, Rene","contributorId":149513,"corporation":false,"usgs":false,"family":"Price","given":"Rene","affiliations":[{"id":17760,"text":"Florida International Univ.","active":true,"usgs":false}],"preferred":false,"id":578652,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Davis, Stephen E.","contributorId":73494,"corporation":false,"usgs":true,"family":"Davis","given":"Stephen E.","affiliations":[],"preferred":false,"id":578653,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70159419,"text":"70159419 - 2015 - Niche divergence builds the case for ecological speciation in skinks of the Plestiodon skiltonianus species complex","interactions":[],"lastModifiedDate":"2015-10-29T09:39:56","indexId":"70159419","displayToPublicDate":"2015-10-29T10:30:00","publicationYear":"2015","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":"Niche divergence builds the case for ecological speciation in skinks of the Plestiodon skiltonianus species complex","docAbstract":"Adaptation to different thermal environments has the potential to cause evolutionary changes that are sufficient to drive ecological speciation. Here, we examine whether climate-based niche divergence in lizards of the Plestiodon skiltonianus species complex is consistent with the outcomes of such a process. Previous work on this group shows that a mechanical sexual barrier has evolved between species that differ mainly in body size and that the barrier may be a by-product of selection for increased body size in lineages that have invaded xeric environments; however, baseline information on niche divergence among members of the group is lacking. We quantified the climatic niche using mechanistic physiological and correlative niche models and then estimated niche differences among species using ordination techniques and tests of niche overlap and equivalency. Our results show that the thermal niches of size-divergent, reproductively isolated morphospecies are significantly differentiated and that precipitation may have been as important as temperature in causing increased shifts in body size in xeric habitats. While these findings alone do not demonstrate thermal adaptation or identify the cause of speciation, their integration with earlier genetic and behavioral studies provides a useful test of phenotype–environment associations that further support the case for ecological speciation in these lizards.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.1610","usgsCitation":"Wogan, G.O., and Richmond, J.Q., 2015, Niche divergence builds the case for ecological speciation in skinks of the Plestiodon skiltonianus species complex: Ecology and Evolution, v. 5, no. 20, p. 4683-4695, https://doi.org/10.1002/ece3.1610.","productDescription":"13 p.","startPage":"4683","endPage":"4695","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066537","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1610","text":"Publisher Index Page"},{"id":310748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"20","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-05","publicationStatus":"PW","scienceBaseUri":"56333585e4b048076347eea1","contributors":{"authors":[{"text":"Wogan, Guinevere O.U.","contributorId":149463,"corporation":false,"usgs":false,"family":"Wogan","given":"Guinevere","email":"","middleInitial":"O.U.","affiliations":[{"id":17743,"text":"Museum of Vertebrate Zoology, UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":578511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":578510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159657,"text":"70159657 - 2015 - Recent Arctic tundra fire initiates widespread thermokarst development","interactions":[],"lastModifiedDate":"2015-11-17T16:31:36","indexId":"70159657","displayToPublicDate":"2015-10-29T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Recent Arctic tundra fire initiates widespread thermokarst development","docAbstract":"Fire-induced permafrost degradation is well documented in boreal forests, but the role of fires in initiating thermokarst development in Arctic tundra is less well understood. Here we show that Arctic tundra fires may induce widespread thaw subsidence of permafrost terrain in the first seven years following the disturbance. Quantitative analysis of airborne LiDAR data acquired two and seven years post-fire, detected permafrost thaw subsidence across 34% of the burned tundra area studied, compared to less than 1% in similar undisturbed, ice-rich tundra terrain units. The variability in thermokarst development appears to be influenced by the interaction of tundra fire burn severity and near-surface, ground-ice content. Subsidence was greatest in severely burned, ice-rich upland terrain (yedoma), accounting for ~50% of the detected subsidence, despite representing only 30% of the fire disturbed study area. Microtopography increased by 340% in this terrain unit as a result of ice wedge degradation. Increases in the frequency, magnitude, and severity of tundra fires will contribute to future thermokarst development and associated landscape change in Arctic tundra regions.
","language":"English","publisher":"Nature","doi":"10.1038/srep15865","collaboration":"Guido Grosse, Christopher D. Arp, Eric Miller, Lin Liu, Daniel J. Hayes & Christopher F. Larsen","usgsCitation":"Jones, B.M., Grosse, G., Arp, C.D., Miller, E.K., Liu, L., Hayes, D.J., and Larsen, C., 2015, Recent Arctic tundra fire initiates widespread thermokarst development: Scientific Reports, p. 1-13, https://doi.org/10.1038/srep15865.","productDescription":"13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065470","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":471699,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep15865","text":"Publisher Index Page"},{"id":311447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311446,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.com/articles/srep15865"}],"country":"United States","state":"Alaska","otherGeospatial":"Anaktuvuk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -151.6552734375,\n 69.58056349224898\n ],\n [\n -150.1611328125,\n 69.63415831720732\n ],\n [\n -149.6337890625,\n 68.71246485443845\n ],\n [\n -149.600830078125,\n 68.6245436634471\n ],\n [\n -151.336669921875,\n 68.48395536734631\n ],\n [\n -151.776123046875,\n 69.5690613327378\n ],\n [\n -151.6552734375,\n 69.58056349224898\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-29","publicationStatus":"PW","scienceBaseUri":"564c5de6e4b0ebfbef0d348d","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":579931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":579932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":579933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Eric K.","contributorId":55244,"corporation":false,"usgs":true,"family":"Miller","given":"Eric","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":579934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, Lingli","contributorId":9926,"corporation":false,"usgs":true,"family":"Liu","given":"Lingli","email":"","affiliations":[],"preferred":false,"id":579935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":579936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larsen, Christopher F.","contributorId":107178,"corporation":false,"usgs":true,"family":"Larsen","given":"Christopher F.","affiliations":[],"preferred":false,"id":579937,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70178331,"text":"70178331 - 2015 - Influence of hyporheic exchange, substrate distribution, and other physically-linked hydrogeomorphic characteristics on abundance of freshwater mussels","interactions":[],"lastModifiedDate":"2016-11-11T14:00:24","indexId":"70178331","displayToPublicDate":"2015-10-29T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of hyporheic exchange, substrate distribution, and other physically-linked hydrogeomorphic characteristics on abundance of freshwater mussels","docAbstract":"Both endangered and non-endangered unionid mussels are heterogeneously distributed within the Allegheny River,\nPennsylvania. Mussel populations vary from high to low density downstream of Kinzua Dam, and the direction, amount, and\nrange of hyporheic exchange (seepage) at the sediment–water interface were suspected to influence their distribution and\nabundance. Nineteen hydrogeomorphic variables, including the quantification of seepage metrics, substrate size, river stage, river\ndischarge, and shear stress, were measured at five reaches on the Allegheny River within 80 km downstream of Kinzua Dam.\nAnalysis revealed significant (α = 0·05) non-linear correlations between mussel population density and directional mean seepage\n(positive relationship), river width (positive relationship), and median substrate size (negative relationship). Specifically, seepage\nfindings showed that increases in upward seepage and decreases in the overall range of seepage related to increases in mussel\npopulation density. River width, directional mean seepage, and median substrate size were also found to co-vary with marginal\nsignificance (α = 0·1), making their individual influences on mussel population density uncertain. Absolute mean seepage, water\ndepth, hydraulic head, temperature differences between the surface water and substrate, and other substrate metrics besides\nmedian grain size were not found to significantly correlate to mussel population density. Considering the physical processes often\nlinking seepage to other explanatory variables, future research in seepage–mussel relationships should work to isolate the\nmechanistic influence of hyporheic exchange independently from its common covariation with substrate size and\ngeomorphology. Copyright © 2014 John Wiley & Sons, Ltd.","language":"English","publisher":"Journal of the North American Benthological Society","doi":"10.1002/eco.1581","usgsCitation":"Rosenberry, D.O., Klos, P.Z., and Bumgardner, R.V., 2015, Influence of hyporheic exchange, substrate distribution, and other physically-linked hydrogeomorphic characteristics on abundance of freshwater mussels: Ecohydrology, v. 8, no. 7, p. 1284-1291, https://doi.org/10.1002/eco.1581.","productDescription":"7 p. ","startPage":"1284","endPage":"1291","ipdsId":"IP-030163","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":330965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Ohio, Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.6011962890625,\n 40.94256444133327\n ],\n [\n -80.6011962890625,\n 43.329173667843904\n ],\n [\n -77.0196533203125,\n 43.329173667843904\n ],\n [\n -77.0196533203125,\n 40.94256444133327\n ],\n [\n -80.6011962890625,\n 40.94256444133327\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-27","publicationStatus":"PW","scienceBaseUri":"5826b62de4b01fad86eb904f","chorus":{"doi":"10.1002/eco.1581","url":"http://dx.doi.org/10.1002/eco.1581","publisher":"Wiley-Blackwell","authors":"Klos P. Zion, Rosenberry Donald O., Nelson Glenn R.","journalName":"Ecohydrology","publicationDate":"11/27/2014","auditedOn":"12/15/2014"},"contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":653611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klos, P. Zion","contributorId":176826,"corporation":false,"usgs":false,"family":"Klos","given":"P.","email":"","middleInitial":"Zion","affiliations":[],"preferred":false,"id":653613,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bumgardner, Rita Villella","contributorId":168441,"corporation":false,"usgs":false,"family":"Bumgardner","given":"Rita","email":"","middleInitial":"Villella","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":653612,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70156960,"text":"ofr20151172 - 2015 - Performance evaluation of five turbidity sensors in three primary standards","interactions":[],"lastModifiedDate":"2025-03-31T13:25:26.52461","indexId":"ofr20151172","displayToPublicDate":"2015-10-28T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1172","displayTitle":"Performance Evaluation of Five Turbidity Sensors in Three Primary Standards","title":"Performance evaluation of five turbidity sensors in three primary standards","docAbstract":"The Chicago Area Waterway System (CAWS) consists of a combination of natural and manmade channels that form an interconnected navigable waterway of approximately 90-plus miles in the metropolitan Chicago area of northeastern Illinois. The CAWS serves the area as the primary drainage feature, a waterway transportation corridor, and recreational waterbody. The CAWS was constructed by the Metropolitan Water Reclamation District of Greater Chicago (MWRDGC). Completion of the Chicago Sanitary and Ship Canal (initial portion of the CAWS) in 1900 breached a low drainage divide and resulted in a diversion of water from the Lake Michigan Basin. A U.S. Supreme Court decree (Consent Decree 388 U.S. 426 [1967] Modified 449 U.S. 48 [1980]) limits the annual diversion from Lake Michigan. While the State of Illinois is responsible for the diversion, the MWRDGC regulates and maintains water level and water quality within the CAWS by using several waterway control structures. The operation and control of water levels in the CAWS results in a very complex hydraulic setting characterized by highly unsteady flows. The complexity leads to unique gaging requirements and monitoring issues. This report provides a general discussion of the complex hydraulic setting within the CAWS and quantifies this information with examples of data collected at a range of flow conditions from U.S. Geological Survey streamflow gaging stations and other locations within the CAWS. Monitoring to address longstanding issues of waterway operation, as well as current (2014) emerging issues such as wastewater disinfection and the threat from aquatic invasive species, is included in the discussion.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155115","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency– Great Lakes Restoration Initiative","usgsCitation":"Duncker, J.J. and Johnson, K.K., 2015, Hydrology of and current monitoring issues for the Chicago Area Waterway\nSystem, northeastern Illinois: U.S. Geological Survey Scientific Investigations Report 2015–5115, 48 p., https://dx.doi.\norg/10.3133/sir20155115.","productDescription":"vi, 48 p.","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-038442","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":310678,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5115/sir20155115.pdf","text":"Report","size":"9.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5115"},{"id":310677,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5115/coverthb.jpg"}],"country":"United States","state":"Illinois","city":"Chicago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.099365234375,\n 41.57847058443442\n ],\n [\n -88.099365234375,\n 42.18579390537848\n ],\n [\n -87.47039794921874,\n 42.18579390537848\n ],\n [\n -87.47039794921874,\n 41.57847058443442\n ],\n [\n -88.099365234375,\n 41.57847058443442\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Illinois Water Science Center
U.S. Geological Survey
405 N. Goodwin Avenue
Urbana, IL 61801
http://il.water.usgs.gov/
About 35 million years ago, a 2-mile-wide meteorite smashed into Earth in what is now the lower Chesapeake Bay in Virginia. The oceanic impact vaporized, melted, fractured, and displaced rocks and sediments and sent billions of tons of water, sediments, and rocks into the air. Glassy particles of solidified melt rock rained down as far away as Texas and the Caribbean. Large tsunamis affected most of the North Atlantic basin. The resulting impact structure is more than 53 miles wide and has a 23-mile-wide, filled central crater surrounded by collapsed sediments. Now buried by hundreds of feet of younger sediments, the Chesapeake Bay impact structure is among the 20 largest known impact structures on Earth.
\nSince its discovery in the early 1990s, scientists have conducted deep drilling and geophysical surveys of the impact structure to find out more about its size, composition, structure, age, and biological effects and to understand its lingering influences on the regional groundwater system. These efforts culminated in the drilling of a 1-mile-deep, continuously sampled corehole in 2005 by an international group of scientists and agencies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip159","issn":"2332–3531","isbn":"2332–354X","usgsCitation":"Powars, D.S., Edwards, L.E., Gohn, G.S., and Horton, J.W., Jr., 2015, Chesapeake Bay impact structure—A blast from the past: U.S. Geological Survey General Information Product 159, 2 p., https://dx.doi.org/10.3133/gip159.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-069162","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":310647,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0159/gip159.pdf","text":"Report","size":"346 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 159","linkHelpText":"Chesapeake Bay Impact Structure: A Blast from the Past - Bookmark"},{"id":310648,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.3133/fs20153071","text":"Fact Sheet 2015-3071","size":"1.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 159"},{"id":310646,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0159/coverthb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.003173828125,\n 36.641977814705946\n ],\n [\n -77.003173828125,\n 37.79676317682161\n ],\n [\n -75.0531005859375,\n 37.79676317682161\n ],\n [\n -75.0531005859375,\n 36.641977814705946\n ],\n [\n -77.003173828125,\n 36.641977814705946\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
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About 35 million years ago, during late Eocene time, a 2-mile-wide asteroid or comet smashed into Earth in what is now the lower Chesapeake Bay in Virginia. The oceanic impact vaporized, melted, fractured, and (or) displaced the target rocks and sediments and sent billions of tons of water, sediments, and rocks into the air. Glassy particles of solidified melt rock rained down as far away as Texas and the Caribbean. Models suggest that even up to 50 miles away the velocity of the intensely hot air blast was greater than 1,500 miles per hour, and ground shaking was equivalent to an earthquake greater than magnitude 8.0 on the Richter scale. Large tsunamis affected most of the North Atlantic basin. The Chesapeake Bay impact structure is among the 20 largest known impact structures on Earth.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153071","usgsCitation":"Powars, D.S., Edwards, L.E., Gohn, G.S., and Horton, J.W., Jr., 2015, The Chesapeake Bay impact structure: U.S. Geological Survey Fact Sheet 2015–3071, 2 p., https://dx.doi.org/10.3133/fs20153071.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069422","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":310712,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.3133/gip159","text":"General Information Product 159 - Bookmark","size":"348 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3071"},{"id":310711,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3071/fs20153071.pdf","text":"Report","size":"1.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3071"},{"id":310710,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3071/coverthb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.003173828125,\n 36.641977814705946\n ],\n [\n -77.003173828125,\n 37.79676317682161\n ],\n [\n -75.0531005859375,\n 37.79676317682161\n ],\n [\n -75.0531005859375,\n 36.641977814705946\n ],\n [\n -77.003173828125,\n 36.641977814705946\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
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Hawaiian forest birds serve as an ideal group to explore the extent of climate change impacts on at-risk species. Avian malaria constrains many remaining Hawaiian forest bird species to high elevations where temperatures are too cool for malaria's life cycle and its principal mosquito vector. The impact of climate change on Hawaiian forest birds has been a recent focus of Hawaiian conservation biology, and has centered on the links between climate and avian malaria. To elucidate the differential impacts of projected climate shifts on species with known varying niches, disease resistance and tolerance, we use a comprehensive database of species sightings, regional climate projections and ensemble distribution models to project distribution shifts for all Hawaiian forest bird species. We illustrate that, under a likely scenario of continued disease-driven distribution limitation, all 10 species with highly reliable models (mostly narrow-ranged, single-island endemics) are expected to lose >50% of their range by 2100. Of those, three are expected to lose all range and three others are expected to lose >90% of their range. Projected range loss was smaller for several of the more widespread species; however improved data and models are necessary to refine future projections. Like other at-risk species, Hawaiian forest birds have specific habitat requirements that limit the possibility of range expansion for most species, as projected expansion is frequently in areas where forest habitat is presently not available (such as recent lava flows). Given the large projected range losses for all species, protecting high elevation forest alone is not an adequate long-term strategy for many species under climate change. We describe the types of additional conservation actions practitioners will likely need to consider, while providing results to help with such considerations.
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research communities met in Kitty Hawk, NC, USA to bridge the apparent gap between the coastal dune research of scientists and engineers and the needs of coastal management practitioners. The workshop aimed to identify the challenges involved in building and managing dunes on developed coasts, assess the extent to which scientific knowledge can be applied to the management community, and identify approaches to provide means to bridge the gap between needs and potential solutions.
","conferenceTitle":"Dune management challenges on developed coasts: An American shore and beach preservation association (ASBPA) workshop ","conferenceDate":"October 26 -October 28, 2015 ","conferenceLocation":"Kitty Hawk, NC","language":"English","usgsCitation":"Elko, N.A., Brodie, K., Stockdon, H.F., Nordstrom, K.F., Houser, C., McKenna, K., Moore, L., Rosati, J., Ruggiero, P., Thuman, R., and Walker, I.J., 2015, Dune management challenges on developed coasts, Dune management challenges on developed coasts: An American shore and beach preservation association (ASBPA) workshop , Kitty Hawk, NC, October 26 -October 28, 2015 , HTML.","productDescription":"HTML","ipdsId":"IP-072355","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":332352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332351,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asbpa.org/dunes/dune_workshop.htm"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bfe4b01224f329b5f1","contributors":{"authors":[{"text":"Elko, Nicole A.","contributorId":50960,"corporation":false,"usgs":true,"family":"Elko","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":589959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodie, Kate","contributorId":152625,"corporation":false,"usgs":false,"family":"Brodie","given":"Kate","email":"","affiliations":[{"id":18947,"text":"USACE ERDC","active":true,"usgs":false}],"preferred":false,"id":589960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":589958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, Karl F.","contributorId":113281,"corporation":false,"usgs":true,"family":"Nordstrom","given":"Karl","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":589961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houser, Chris","contributorId":78248,"corporation":false,"usgs":true,"family":"Houser","given":"Chris","affiliations":[],"preferred":false,"id":589962,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKenna, Kim","contributorId":152626,"corporation":false,"usgs":false,"family":"McKenna","given":"Kim","email":"","affiliations":[{"id":18948,"text":"Delaware DNREC","active":true,"usgs":false}],"preferred":false,"id":589963,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Laura","contributorId":19090,"corporation":false,"usgs":false,"family":"Moore","given":"Laura","affiliations":[{"id":24532,"text":"Department of Geological Sciences, University of North Carolina, Chapel Hill, NC 27599, USA","active":true,"usgs":false}],"preferred":false,"id":589964,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosati, Julie D.","contributorId":112486,"corporation":false,"usgs":false,"family":"Rosati","given":"Julie D.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":589965,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":589966,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thuman, Roberta","contributorId":152627,"corporation":false,"usgs":false,"family":"Thuman","given":"Roberta","email":"","affiliations":[{"id":18949,"text":"Town of Nags Head","active":true,"usgs":false}],"preferred":false,"id":589967,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Walker, Ian J.","contributorId":147367,"corporation":false,"usgs":false,"family":"Walker","given":"Ian","email":"","middleInitial":"J.","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":589968,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70156710,"text":"70156710 - 2015 - Applications of optical sensors for high-frequency water-quality monitoring and research","interactions":[],"lastModifiedDate":"2015-11-10T16:43:51","indexId":"70156710","displayToPublicDate":"2015-10-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Applications of optical sensors for high-frequency water-quality monitoring and research","docAbstract":"The recent commercial availability of in-situ optical sensors, together with new techniques for data collection and analysis, provides the opportunity to monitor a wide range of water-quality constituents over time scales during which environmental conditions actually change. Traditional approaches for data collection (daily to monthly discrete samples) are often limited by high sample collection, processing, and analytical costs, difficult site access, and logistical challenges, particularly for long-term sampling at a large number of sites. Optical sensors that continuously measure constituents in the environment by absorbance or fluorescence properties (Figure 1) have had a long history of use in oceanography for measuring highly resolved concentrations and fluxes of organic matter, nutrients, and algal material. However, much of the work using commercially-available optical sensors in rivers and streams has taken place in only the last few years. Figure 1. [NOT SHOWN] Optical sensor technology is now sufficiently developed to warrant broader application for research and monitoring in coastal and freshwater systems, and the United States Geological Survey (a U.S. science agency) is now using these sensors in a variety of research and monitoring programs to better understand water quality in-situ and in real-time. Examples are numerous and range from the applications of nitrate sensors for calculating loads to estuaries susceptible to hypoxia (Pellerin et al., 2014) to the use of fluorometers to estimate methymercury fluxes (Bergamaschi et al., 2011) and disinfection byproduct formation (Carpenter et al., 2013). Transmitting these data in real-time provides information that can be used for early trend detection, help identify monitoring gaps critical for water management, and provide science-based decision support across a range of issues related to water quality, freshwater ecosystems, and human health. Despite the value of these sensors, collecting data that meet high-quality standards requires investment in and adherence to tested and established methods and protocols for sensor operation and data management (Pellerin et al., 2013). For example, optical sensor measurements can be strongly influenced by a variety of matrix effects, including water temperature, inner filtering from highly colored water, and scattering of light by suspended particles (Downing et al., 2012). Characterizing and correcting sensors for these effects – as well as the continued development of common methodologies and protocols for sensor use – will be critical to ensuring comparable measurements across sites and over time. In addition, collaborative efforts such as the Nutrient Sensor Challenge (www.nutrients-challenge.org) will continue to accelerate the development, production and use of affordable, reliable and accurate sensors for a range of environments. REFERENCES Bergamaschi .B.A., Fleck J.A., Downing B.D., Boss E., Pellerin B.A., Ganju N.K., Schoellhamer D.H., Byington A.A., Heim W.A., Stephenson M., Fujii R. (2011), Methyl mercury dynamics in a tidal wetland quantified using in situ optical measurements. Limnology and Oceanography, 56(4): 1355-1371. Carpenter K.D., Kraus T.E.C., Goldman J.H., Saraceno J., Downing B.D., Bergamaschi B.A., McGhee G., Triplett T. (2013), Sources and Characteristics of Organic Matter in the Clackamas River, Oregon, Related to the Formation of Disinfection By-products in Treated Drinking Water: U.S. Geological Survey Scientific Investigations Report 2013–5001, 78 p. Downing .B.D., Pellerin B.A., Bergamaschi B.A., Saraceno J., Kraus T.E.K. (2012), Seeing the light: The effects of particles, temperature and inner filtering on in situ CDOM fluorescence in rivers and streams. Limnology and Oceanography: Methods, 10: 767-775. Pellerin B.A., Bergamaschi B.A., Downing B.D., Saraceno J., Garrett J.D., Olsen L.D. (2013), Optical Techniques for the Determination of Nitrate in En
","conferenceTitle":"The SMART water grid International conference","conferenceDate":"October 27-28, 2015","conferenceLocation":"Incheon, South Korea","language":"English","usgsCitation":"Pellerin, B., 2015, Applications of optical sensors for high-frequency water-quality monitoring and research, The SMART water grid International conference, Incheon, South Korea, October 27-28, 2015, 1 p.","productDescription":"1 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068720","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":311184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307561,"type":{"id":15,"text":"Index Page"},"url":"https://www.swgic.org/sub/information/schedule.htm"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5643233ce4b0aafbcd017fcb","contributors":{"authors":[{"text":"Pellerin, Brian A. 0000-0003-3712-7884 bpeller@usgs.gov","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":147077,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":570189,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156292,"text":"70156292 - 2015 - Simulating maize yield and bomass with spatial variability of soil field capacity","interactions":[],"lastModifiedDate":"2016-01-06T10:35:22","indexId":"70156292","displayToPublicDate":"2015-10-27T17:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":684,"text":"Agronomy Journal","active":true,"publicationSubtype":{"id":10}},"title":"Simulating maize yield and bomass with spatial variability of soil field capacity","docAbstract":"Spatial variability in field soil properties is a challenge for system modelers who use single representative values, such as means, for model inputs, rather than their distributions. In this study, the root zone water quality model (RZWQM2) was first calibrated for 4 yr of maize (Zea mays L.) data at six irrigation levels in northern Colorado and then used to study spatial variability of soil field capacity (FC) estimated in 96 plots on maize yield and biomass. The best results were obtained when the crop parameters were fitted along with FCs, with a root mean squared error (RMSE) of 354 kg ha–1 for yield and 1202 kg ha–1 for biomass. When running the model using each of the 96 sets of field-estimated FC values, instead of calibrating FCs, the average simulated yield and biomass from the 96 runs were close to measured values with a RMSE of 376 kg ha–1 for yield and 1504 kg ha–1 for biomass. When an average of the 96 FC values for each soil layer was used, simulated yield and biomass were also acceptable with a RMSE of 438 kg ha–1 for yield and 1627 kg ha–1 for biomass. Therefore, when there are large numbers of FC measurements, an average value might be sufficient for model inputs. However, when the ranges of FC measurements were known for each soil layer, a sampled distribution of FCs using the Latin hypercube sampling (LHS) might be used for model inputs.
","language":"English","publisher":"American Society of Agronomy","publisherLocation":"Madison, WI","doi":"10.2134/agronj2015.0206","usgsCitation":"Ma, L., Ahuja, L., Trout, T., Nolan, B.T., and Malone, R.W., 2015, Simulating maize yield and bomass with spatial variability of soil field capacity: Agronomy Journal, v. 108, no. 1, p. 171-184, https://doi.org/10.2134/agronj2015.0206.","productDescription":"14 p.","startPage":"171","endPage":"184","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060069","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":313916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568e492ae4b0e7a44bc41a6a","contributors":{"authors":[{"text":"Ma, Liwang","contributorId":6751,"corporation":false,"usgs":false,"family":"Ma","given":"Liwang","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":583050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahuja, Lajpat","contributorId":100275,"corporation":false,"usgs":true,"family":"Ahuja","given":"Lajpat","email":"","affiliations":[],"preferred":false,"id":583051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trout, Thomas","contributorId":95785,"corporation":false,"usgs":true,"family":"Trout","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":583052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":568542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malone, Robert W.","contributorId":10347,"corporation":false,"usgs":false,"family":"Malone","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":583053,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70158608,"text":"ds964 - 2015 - Public-supply water use in Kansas, 2013","interactions":[],"lastModifiedDate":"2016-02-24T10:29:28","indexId":"ds964","displayToPublicDate":"2015-10-27T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"964","title":"Public-supply water use in Kansas, 2013","docAbstract":"This report, prepared by the U.S. Geological Survey in cooperation with the Kansas Department of Agriculture’s Division of Water Resources, presents derivative statistics of water used by Kansas public-supply systems in 2013. The published statistics from the previous 4 years (2009–12) are also shown with the 2013 statistics and are used to calculate a 5-year average. An overall Kansas average and regional averages also are calculated and presented.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds964","collaboration":"Prepared in cooperation with the Kansas Department of Agriculture’s Division of Water Resources","usgsCitation":"Lanning-Rush, J.L., and Eslick, P.J., 2015, Public-supply water use in Kansas, 2013: U.S. Geological Survey Data\nSeries 964, 46 p., https://dx.doi.org/10.3133/ds964.","productDescription":"Report: iii, 46 p.; 2 Appendixes","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-067633","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":310291,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0964/coverthb.jpg"},{"id":310299,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0964/downloads/appendix2-non_primary_mun.pdf","text":"Appendix 2","size":"33.8 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U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
http://ks.water.usgs.gov
The Mariana Common Moorhen (Gallinula chloropus guami) is a highly endangered taxon, with fewer than 300 individuals estimated to occur in the wild. The subspecies is believed to have undergone population declines attributable to loss of wetland habitats on its native islands in the Mariana Islands. We analyzed mitochondrial DNA (mtDNA) sequences (control region and ND2 genes) and nuclear microsatellite loci in Mariana Common Moorhens from Guam and Saipan, the two most distal islands inhabited by the subspecies. Our analyses revealed similar nuclear genetic diversity and effective population size estimates on Saipan and Guam. Birds from Guam and Saipan were genetically differentiated (microsatellites: FST = 0.152; control region: FST = 0.736; ND2: FST= 0.390); however, assignment tests revealed the presence of first-generation dispersers from Guam onto Saipan (1 of 27 sampled birds) and from Saipan onto Guam (2 of 28 sampled birds), suggesting the capability for long-distance interpopulation movements within the subspecies. The observed dispersal rate was consistent with long-term estimates of effective numbers of migrants per generation between islands, indicating that movement between islands has been an ongoing process in this system. Despite known population declines, bottleneck tests revealed no signature of historical bottleneck events, suggesting that the magnitude of past population declines may have been comparatively small relative to the severity of declines that can be detected using genetic data.
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